1067:
for
Trustworthy AI". The June AI HLEG recommendations cover four principal subjects: humans and society at large, research and academia, the private sector, and the public sector. The European Commission claims that "HLEG's recommendations reflect an appreciation of both the opportunities for AI technologies to drive economic growth, prosperity and innovation, as well as the potential risks involved" and states that the EU aims to lead on the framing of policies governing AI internationally. To prevent harm, in addition to regulation, AI-deploying organizations need to play a central role in creating and deploying trustworthy AI in line with the principles of trustworthy AI, and take accountability to mitigate the risks. On 21 April 2021, the European Commission proposed the
758:
surveillance in communities that have high percentages of black or brown people. This fact has even been acknowledged in some states and led to the ban of police usage of AI materials or software. Even within the justice system AI has been proven to have biases against black people, labeling black court participants as high risk at a much larger rate then white participants. Often AI struggles to determine racial slurs and when they need to be censored. It struggles to determine when certain words are being used as a slur and when it is being used culturally. The reason for these biases is that AI pulls information from across the internet to influence its responses in each situation. A good example of this being if a
796:, was found to predict higher risk values for black people than what their actual risk was. Another example being within Google's ads which targeted men with higher paying jobs and women with lower paying jobs. It can be hard to detect AI biases within an algorithm as often it is not linked to the actual words associated with bias but rather words that biases can be affected by. An example of this being a person's residential area which can be used to link them to a certain group. This can lead to problems as oftentimes businesses can avoid legal action through this loophole. This being because of the specific laws regarding the verbiage that is considered discriminatory by governments enforcing these policies.
38:
1118:
785:
problems due to their gender or race. This can be perceived as a bias because each patient is a different case and AI is making decisions based on what it is programmed to group that individual into. This leads to a discussion about what is considered a biased decision on who receives what treatment. While it is known that there are differences in how diseases and injuries affect different genders and races, there is a discussion on whether it is fairer to incorporate this into healthcare treatments, or to examine each patient without this knowledge. In modern society there are already certain tests for diseases, such as
1915:β Algorethics is a cutting-edge open-source AI library developed to embed ethical standards at the core of artificial intelligence systems. It provides developers with essential tools to ensure AI-driven solutions are fair, inclusive, and transparent, safeguarding ethical integrity in both text and image processing. Drawing inspiration from the Rome Call for AI Ethics, Algorethics is committed to promoting human dignity and social good through responsible AI practices. Integrating this library into projects ensures adherence to the highest ethical standards, fostering a trustworthy and ethical AI ecosystem.
671:
2059:
to what degree they could use such abilities to possibly pose any threat or hazard. They noted that some machines have acquired various forms of semi-autonomy, including being able to find power sources on their own and being able to independently choose targets to attack with weapons. They also noted that some computer viruses can evade elimination and have achieved "cockroach intelligence". They noted that self-awareness as depicted in science-fiction is probably unlikely, but that there were other potential hazards and pitfalls.
2081:
AI, but also outlined ethical questions and common fears associated with it. During the second half of the twentieth and the first decades of the twenty-first century, popular culture, in particular movies, TV series and video games have frequently echoed preoccupations and dystopian projections around ethical questions concerning AI and robotics. Recently, these themes have also been increasingly treated in literature beyond the realm of science fiction. And, as Carme Torras, research professor at the
1384:
should learn ethical decisions by observing human behavior without the need for formal rules or moral philosophies, and the top-down approach, which involves programming specific ethical principles into the machine's guidance system. However, there are significant challenges facing both strategies: the top-down technique is criticized for its difficulty in preserving certain moral convictions, while the bottom-up strategy is questioned for potentially unethical learning from human activities.
11540:
10667:
10248:
1093:, has only sped up the adoption of AI programs in the application process, due to more people having to apply electronically, and with this increase in online applicants the use of AI made the process of narrowing down potential employees easier and more efficient. AI has become more prominent as businesses have to keep up with the times and ever-expanding internet. Processing analytics and making decisions becomes much easier with the help of AI. As
1648:, The Partnership on AI to Benefit People and Society, to formulate best practices on artificial intelligence technologies, advance the public's understanding, and to serve as a platform about artificial intelligence. Apple joined in January 2017. The corporate members will make financial and research contributions to the group, while engaging with the scientific community to bring academics onto the board.
987:" due to the difficulty to understand how they work. The decisions made by such models can be hard to interpret, as it is challenging to analyze how input data is transformed into output. This lack of transparency is a significant concern in fields like healthcare, where understanding the rationale behind decisions can be crucial for trust, ethical considerations, and compliance with regulatory standards.
1742:
keep
American AI technology competitive in a global market. There is a nod to the need for privacy concerns, but no further detail on enforcement. The advances of American AI technology seems to be the focus and priority. Additionally, federal entities are even encouraged to use the order to circumnavigate any state laws and regulations that a market might see as too onerous to fulfill.
11528:
676:
675:
672:
809:, as it was trained on English-centric data, describes liberalism from the Anglo-American perspective, emphasizing aspects of human rights and equality, while equally valid aspects like "opposes state intervention in personal and economic life" from the dominant Vietnamese perspective and "limitation of government power" from the prevalent Chinese perspective are absent.
677:
2345:. This event caused an ethical schism between those who felt bestowing organic rights upon the newly sentient Geth was appropriate and those who continued to see them as disposable machinery and fought to destroy them. Beyond the initial conflict, the complexity of the relationship between the machines and their creators is another ongoing theme throughout the story.
2354:
of different events to make different choices to achieve the purpose of changing the human view of the bionic group and different choices will result in different endings. This is one of the few games that puts players in the bionic perspective, which allows them to better consider the rights and interests of robots once a true artificial intelligence is created.
8352:
712:
present/future that these types of candidates are most likely to succeed in getting the job. Therefore, the recruitment decisions made by the AI system turned out to be biased against female and minority candidates. Friedman and
Nissenbaum identify three categories of bias in computer systems: existing bias, technical bias, and emergent bias. In
674:
1207:, who in 2018 called for a global moratorium on further work that risked creating conscious AIs. The moratorium was to run to 2050 and could be either extended or repealed early, depending on progress in better understanding the risks and how to mitigate them. Metzinger repeated this argument in 2021, highlighting the risk of creating an "
2185:, on the other hand, asks a more difficult question: if confronted with a clearly recognizable machine, made only human by a face and an empathetic and sensual voice, would we still be able to establish an emotional connection, still be seduced by it? (The film echoes a theme already present two centuries earlier, in the 1817 short story
1141:. It has been suggested that robot rights (such as a right to exist and perform its own mission) could be linked to robot duty to serve humanity, analogous to linking human rights with human duties before society. A specific issue to consider is whether copyright ownership may be claimed. The issue has been considered by the
1549:. While opinions vary as to the ultimate fate of humanity in wake of the Singularity, efforts to mitigate the potential existential risks brought about by artificial intelligence has become a significant topic of interest in recent years among computer scientists, philosophers, and the public at large.
698:
algorithms made by
Microsoft, IBM and Face++ all had biases when it came to detecting people's gender; these AI systems were able to detect gender of white men more accurately than gender of darker skin men. Further, a 2020 study reviewed voice recognition systems from Amazon, Apple, Google, IBM, and
2353:
is one of the most famous video games which discusses the ethics of artificial intelligence recently. Quantic Dream designed the chapters of the game using interactive storylines to give players a more immersive gaming experience. Players manipulate three different awakened bionic people in the face
2058:
to discuss the potential impact of robots and computers, and the impact of the hypothetical possibility that they could become self-sufficient and make their own decisions. They discussed the possibility and the extent to which computers and robots might be able to acquire any level of autonomy, and
1508:
Academic Gao Qiqi writes that military use of AI risks escalating military competition between countries and that the impact of AI in military matters will not be limited to one country but will have spillover effects. Gao cites the example of U.S. military use of AI, which he contends has been used
1496:
writes that these scenarios "seem potentially as important as the risks related to loss of control", but research investigating AI's long-run social impact have spent relatively little time on this concern: "this class of scenarios has not been a major focus for the organizations that have been most
1050:
Not only companies, but many other researchers and citizen advocates recommend government regulation as a means of ensuring transparency, and through it, human accountability. This strategy has proven controversial, as some worry that it will slow the rate of innovation. Others argue that regulation
757:
is shown to be more highly associated with violence than any other religions. Oftentimes being able to easily detect the faces of white people while being unable to register the faces of people who are black. This is even more disconcerting considering the unproportionate use of security cameras and
608:
The term "robot ethics" (sometimes "roboethics") refers to the morality of how humans design, construct, use and treat robots. Robot ethics intersect with the ethics of AI. Robots are physical machines whereas AI can be only software. Not all robots function through AI systems and not all AI systems
1741:
released a draft executive order issued by the Office of
Management and Budget (OMB) on "Guidance for Regulation of Artificial Intelligence Applications" ("OMB AI Memorandum"). The order emphasizes the need to invest in AI applications, boost public trust in AI, reduce barriers for usage of AI, and
1660:
initiative aims to address ethical dilemmas related to decision-making and the impact on society while developing guidelines for the development and use of autonomous systems. In particular in domains like artificial intelligence and robotics, the
Foundation for Responsible Robotics is dedicated to
1398:
Some experts and academics have questioned the use of robots for military combat, especially when such robots are given some degree of autonomous functions. The US Navy has funded a report which indicates that as military robots become more complex, there should be greater attention to implications
1383:
Experts contend that autonomous vehicles ought to be able distinguish between rightful and harmful decisions since they have the potential of inflicting harm. The two main approaches proposed to enable smart machines to render moral decisions are the bottom-up approach, which suggests that machines
2080:
The role of fiction with regards to AI ethics has been a complex one. One can distinguish three levels at which fiction has impacted the development of artificial intelligence and robotics: Historically, fiction has been prefiguring common tropes that have not only influenced goals and visions for
1363:
becomes increasingly imminent, new challenges raised by fully autonomous vehicles must be addressed. There have been debates about the legal liability of the responsible party if these cars get into accidents. In one report where a driverless car hit a pedestrian, the driver was inside the car but
1326:
and
Haenlein stress that AI systems are only as smart as the data used to train them since they are, in their essence, nothing more than fancy curve-fitting machines; using AI to support a court ruling can be highly problematic if past rulings show bias toward certain groups since those biases get
1066:
On June 26, 2019, the
European Commission High-Level Expert Group on Artificial Intelligence (AI HLEG) published its "Policy and investment recommendations for trustworthy Artificial Intelligence". This is the AI HLEG's second deliverable, after the April 2019 publication of the "Ethics Guidelines
1379:
Currently, self-driving cars are considered semi-autonomous, requiring the driver to pay attention and be prepared to take control if necessary. Thus, it falls on governments to regulate the driver who over-relies on autonomous features. as well educate them that these are just technologies that,
1314:
from people in these positions. If machines replace them, we will find ourselves alienated, devalued and frustrated, for the artificially intelligent system would not be able to simulate empathy. Artificial intelligence, if used in this way, represents a threat to human dignity. Weizenbaum argues
975:
can result in computers making decisions that neither they nor their developers can explain. It is difficult for people to determine if such decisions are fair and trustworthy, leading potentially to bias in AI systems going undetected, or people rejecting the use of such systems. This has led to
1570:
would be capable of independent initiative and of making its own plans, and may therefore be more appropriately thought of as an autonomous agent. Since artificial intellects need not share our human motivational tendencies, it would be up to the designers of the superintelligence to specify its
804:
Since current large language models are predominately trained on
English-language data, they often present the Anglo-American views as truth, while systematically downplaying non-English perspectives as irrelevant, wrong, or noise. Luo et al. show that when queried with political ideologies like
744:
AI is also being incorporated into the hiring processes for almost every major company. There are many examples of certain characteristics that the AI is less likely to choose. Including the association between typically white names being more qualified, and the exclusion of anyone who went to a
732:
The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it. There are some open-sourced tools that are looking to bring more
1041:
According to a 2019 report from the Center for the
Governance of AI at the University of Oxford, 82% of Americans believe that robots and AI should be carefully managed. Concerns cited ranged from how AI is used in surveillance and in spreading fake content online (known as deep fakes when they
784:
in the use of AI will be much harder to eliminate within healthcare systems, as oftentimes diseases and conditions can affect different races and genders differently. This can lead to confusion as the AI may be making decisions based on statistics showing that one patient is more likely to have
2032:
to govern artificially intelligent systems. Much of his work was then spent testing the boundaries of his three laws to see where they would break down, or where they would create paradoxical or unanticipated behavior. His work suggests that no set of fixed laws can sufficiently anticipate all
1375:
in Arizona. In this case, the automated car was capable of detecting cars and certain obstacles in order to autonomously navigate the roadway, but it could not anticipate a pedestrian in the middle of the road. This raised the question of whether the driver, pedestrian, the car company, or the
929:
There are also concerns that releasing AI models may lead to misuse. For example, Microsoft has expressed concern about allowing universal access to its face recognition software, even for those who can pay for it. Microsoft posted a blog on this topic, asking for government regulation to help
2093:
While the anticipation of a future dominated by potentially indomitable technology has fueled the imagination of writers and film makers for a long time, one question has been less frequently analyzed, namely, to what extent fiction has played a role in providing inspiration for technological
1406:
On October 31, 2019, the United States Department of Defense's Defense Innovation Board published the draft of a report recommending principles for the ethical use of artificial intelligence by the Department of Defense that would ensure a human operator would always be able to look into the
1246:, it may be possible to create machines that would be "superhumanly efficient at deriving well-being from resources", called "super-beneficiaries". One reason for this is that digital hardware could enable much faster information processing than biological brains, leading to a faster rate of
1194:
In 2020, professor Shimon Edelman noted that only a small portion of work in the rapidly growing field of AI ethics addressed the possibility of AIs experiencing suffering. This was despite credible theories having outlined possible ways by which AI systems may become conscious, such as the
711:
because the algorithm favored male candidates over female ones. This was because Amazon's system was trained with data collected over 10-year period that came mostly from male candidates. The algorithms learned the (biased) pattern from the historical data and generated predictions for the
542:
are capable of approximating human moral judgments. Inevitably, this raises the question of the environment in which such robots would learn about the world and whose morality they would inherit β or if they end up developing human 'weaknesses' as well: selfishness, pro-survival attitudes,
829:
Language models may also exhibit political biases. Since the training data includes a wide range of political opinions and coverage, the models might generate responses that lean towards particular political ideologies or viewpoints, depending on the prevalence of those views in the data.
1185:
has argued that creating AI that requires rights is both avoidable, and would in itself be unethical, both as a burden to the AI agents and to human society. Pressure groups to recognise 'robot rights' significantly hinder the establishment of robust international safety regulations.
8336:
980:. Explainable artificial intelligence encompasses both explainability and interpretability, with explainability relating to summarizing neural network behavior and building user confidence, while interpretability is defined as the comprehension of what a model has done or could do.
2222:, published in 2021, is the first-person account of Klara, an 'AF' (artificial friend), who is trying, in her own way, to help the girl she is living with, who, after having been 'lifted' (i.e. having been subjected to genetic enhancements), is suffering from a strange illness.
838:
Beyond gender and race, these models can reinforce a wide range of stereotypes, including those based on age, nationality, religion, or occupation. This can lead to outputs that unfairly generalize or caricature groups of people, sometimes in harmful or derogatory ways.
1042:
include doctored video images and audio generated with help from AI) to cyberattacks, infringements on data privacy, hiring bias, autonomous vehicles, and drones that do not require a human controller. Similarly, according to a five-country study by KPMG and the
1693:". The European Commission also has a Robotics and Artificial Intelligence Innovation and Excellence unit, which published a white paper on excellence and trust in artificial intelligence innovation on 19 February 2020. The European Commission also proposed the
723:
Large companies such as IBM, Google, etc. that provide significant funding for research and development, have made efforts to research and address these biases. One solution for addressing bias is to create documentation for the data used to train AI systems.
693:
systems. Some of these systems have real business applications and directly impact people. These systems are vulnerable to biases and errors introduced by its human creators. Also, the data used to train these AI systems itself can have biases. For instance,
1422:
Research has studied how to make autonomous power with the ability to learn using assigned moral responsibilities. "The results may be used when designing future military robots, to control unwanted tendencies to assign responsibility to the robots." From a
1088:
that can create a painting about whatever one desires. AI has become increasingly popular in hiring markets, from the ads that target certain people according to what they are looking for to the inspection of applications of potential hires. Events, such as
1655:
put together a Global Initiative on Ethics of Autonomous and Intelligent Systems which has been creating and revising guidelines with the help of public input, and accepts as members many professionals from within and without its organization. The IEEE's
529:
is flawed and the requirement for an AI to pass the test is too low. A proposed alternative test is one called the Ethical Turing Test, which would improve on the current test by having multiple judges decide if the AI's decision is ethical or unethical.
7030:. In Cognitive, Emotive and Ethical Aspects of Decision Making in Humans and in Artificial Intelligence, edited by Iva Smit and George E. Lasker, 12β17. Vol. 2. Windsor, ON: International Institute for Advanced Studies in Systems Research / Cybernetics.
1733:
on the future and impact of AI. In 2019 the White House through an executive memo known as the "American AI Initiative" instructed NIST the (National Institute of Standards and Technology) to begin work on Federal Engagement of AI Standards (February
1101:(GPUs) become more powerful, AI capabilities also increase, forcing companies to use it to keep up with the competition. Managing customers' needs and automating many parts of the workplace leads to companies having to spend less money on employees.
1321:
counters that, speaking for women and minorities "I'd rather take my chances with an impartial computer", pointing out that there are conditions where we would prefer to have automated judges and police that have no personal agenda at all. However,
1104:
AI has also seen increased usage in criminal justice and healthcare. For medicinal means, AI is being used more often to analyze patient data to make predictions about future patients' conditions and possible treatments. These programs are called
1214:
Several labs have openly stated they are trying to create conscious AIs. There have been reports from those with close access to AIs not openly intended to be self aware, that consciousness may already have unintentionally emerged. These include
1774:
2234:
for decades, the emergence of the TV series as a genre allowing for longer and more complex story lines and character development has led to some significant contributions that deal with ethical implications of technology. The Swedish series
673:
502:(AMAs), robots or artificially intelligent computers that behave morally or as though moral. To account for the nature of these agents, it has been suggested to consider certain philosophical ideas, like the standard characterizations of
7683:
2168:
Science fiction has been grappling with ethical implications of AI developments for decades, and thus provided a blueprint for ethical issues that might emerge once something akin to general artificial intelligence has been achieved:
2085:(Institute of robotics and industrial computing) at the Technical University of Catalonia notes, in higher education, science fiction is also increasingly used for teaching technology-related ethical issues in technological degrees.
821:, assigning roles and characteristics based on traditional gender norms. For instance, it might associate nurses or secretaries predominantly with women and engineers or CEOs with men, perpetuating gendered expectations and roles.
2066:, Switzerland, robots that were programmed to cooperate with each other (in searching out a beneficial resource and avoiding a poisonous one) eventually learned to lie to each other in an attempt to hoard the beneficial resource.
1254:. Shulman and Bostrom caution that failing to appropriately consider the moral claims of digital minds could lead to a moral catastrophe, while uncritically prioritizing them over human interests could be detrimental to humanity.
789:, that are recommended to certain groups of people over others because they are more likely to contract the disease in question. If AI implements these statistics and applies them to each patient, it could be considered biased.
2265:
have imagined scenes of robots and humans living together. The most representative one of them is S02 E01, it shows how bad the consequences can be when robots get out of control if humans rely too much on them in their lives.
1585:
Unless moral philosophy provides us with a flawless ethical theory, an AI's utility function could allow for many potentially harmful scenarios that conform with a given ethical framework but not "common sense". According to
1865:
is a research institute studying the social implications of artificial intelligence. Its interdisciplinary research focuses on the themes bias and inclusion, labour and automation, rights and liberties, and safety and civil
1450:
signed a "Future of Life" petition to ban AI weapons. The message posted by Hawking and Tegmark states that AI weapons pose an immediate danger and that action is required to avoid catastrophic disasters in the near future.
5800:
5746:
5051:
2302:" suggests a future where humanity has turned itself into software that can be duplicated and optimized and the relevant distinction between types of software is sentient and non-sentient. The same idea can be found in the
1438:. AI weapons do present a type of danger different from that of human-controlled weapons. Many governments have begun to fund programs to develop AI weaponry. The United States Navy recently announced plans to develop
728:
can be an important tool for organizations to achieve compliance with proposed AI regulations by identifying errors, monitoring processes, identifying potential root causes for improper execution, and other functions.
7588:
934:
to remove any counter-measure, until the AI model complies with dangerous requests, without any filtering. This could be particularly concerning for future AI models, for example if they get the ability to create
894:
argues that because AI will have such a profound effect on humanity, AI developers are representatives of future humanity and thus have an ethical obligation to be transparent in their efforts. Organizations like
6816:
1972:. The widespread preoccupation with industrialization and mechanization in the 19th and early 20th century, however, brought ethical implications of unhinged technical developments to the forefront of fiction:
7996:
745:
women's college. Facial recognition is also proven to be highly biased against those with darker skin tones. AI systems may be less accurate for black people, as was the case in the development of an AI-based
1046:
Australia in 2021, 66-79% of citizens in each country believe that the impact of AI on society is uncertain and unpredictable; 96% of those surveyed expect AI governance challenges to be managed carefully.
8650:
1315:
that the fact that we are entertaining the possibility of machines in these positions suggests that we have experienced an "atrophy of the human spirit that comes from thinking of ourselves as computers."
1675:
AI ethics work is structured by personal values and professional commitments, and involves constructing contextual meaning through data and algorithms. Therefore, AI ethics work needs to be incentivized.
7518:
702:
Bias can creep into algorithms in many ways. The most predominant view on how bias is introduced into AI systems is that it is embedded within the historical data used to train the system. For instance,
5172:
1556:, a self-improving AI could become so powerful that humans would not be able to stop it from achieving its goals. In his paper "Ethical Issues in Advanced Artificial Intelligence" and subsequent book
8696:
4137:
Ntoutsi E, Fafalios P, Gadiraju U, Iosifidis V, Nejdl W, Vidal ME, Ruggieri S, Turini F, Papadopoulos S, Krasanakis E, Kompatsiaris I, Kinder-Kurlanda K, Wagner C, Karimi F, Fernandez M (May 2020).
3270:
Ntoutsi E, Fafalios P, Gadiraju U, Iosifidis V, Nejdl W, Vidal ME, Ruggieri S, Turini F, Papadopoulos S, Krasanakis E, Kompatsiaris I, Kinder-Kurlanda K, Wagner C, Karimi F, Fernandez M (May 2020).
1571:
original motivations. Because a superintelligent AI would be able to bring about almost any possible outcome and to thwart any attempt to prevent the implementation of its goals, many uncontrolled
762:
was only tested on people who were white then it would only have the data and face scans of white people making it much harder for it to interpret the facial structure and tones of other races and
590:
on the grounds that the norms of any age must be allowed to change and that natural failure to fully satisfy these particular norms has been essential in making humans less vulnerable to criminal "
7838:
6591:
6508:
1109:(DSS). AI's future in healthcare may develop into something further than just recommended treatments, such as referring certain patients over others, leading to the possibility of inequalities.
10284:
7737:
7675:
7276:
3624:
2380:
Experts at the University of Cambridge have argued that AI is portrayed in fiction and nonfiction overwhelmingly as racially White, in ways that distort perceptions of its risks and benefits.
5083:
6419:
534:
AI could be one way to create morally capable robots, as it aims to process information similarly to humans, nonlinearly and with millions of interconnected artificial neurons. Similarly,
2241:(2012β2013) tackled the complex ethical and social consequences linked to the integration of artificial sentient beings in society. The British dystopian science fiction anthology series
1513:
8091:
2098:
in 1933 (just 3 years before the publication of his first seminal paper, which laid the groundwork for the digital computer), and he would likely have been at least aware of plays like
7654:
1485:, a colleague of Rees at Cambridge, has voiced a similar warning that humans might not survive when intelligence "escapes the constraints of biology". These two professors created the
8595:
1895:
1668:
has been used by societies to ensure ethics are observed through legislation and policing. There are now many efforts by national governments, as well as transnational government and
4846:
3156:
2758:
8564:
6726:
5040:
6037:
Kaplan A, Haenlein M (January 2019). "Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence".
1578:
However, Bostrom contended that superintelligence also has the potential to solve many difficult problems such as disease, poverty, and environmental destruction, and could help
8150:
6530:
6139:
3186:
2247:(2013β2019) was particularly notable for experimenting with dystopian fictional developments linked to a wide variety of recent technology developments. Both the French series
1982:'s play of sentient robots endowed with emotions used as slave labor is not only credited with the invention of the term 'robot' (derived from the Czech word for forced labor,
10670:
8970:
8542:
8437:
7580:
1330:
Weizenbaum was also bothered that AI researchers (and some philosophers) were willing to view the human mind as nothing more than a computer program (a position now known as
4643:
1541:, among numerous others, have suggested that a moment may come when some, if not all, computers are smarter than humans. The onset of this event is commonly referred to as "
1211:", both as an AI might suffer in intense ways that humans could not understand, and as replication processes may see the creation of huge quantities of conscious instances.
4483:
6846:
6382:
3478:
2890:
10277:
10041:
6549:
4553:
2105:
One might also ask the question which role science fiction played in establishing the tenets and ethical implications of AI development: Isaac Asimov conceptualized his
963:
scientist, further said in 2023 "we were wrong", expecting that the safety reasons for not open-sourcing the most potent AI models will become "obvious" in a few years.
554:
and Colin Allen conclude that attempts to teach robots right from wrong will likely advance understanding of human ethics by motivating humans to address gaps in modern
8769:
6808:
5474:
4813:
4458:
3096:
10634:
5634:
4983:
4790:
3654:
3126:
2055:
1400:
7950:
6361:
1175:
grants degrees of moral consideration to all sentient beings, primarily humans and most non-human animals. If artificial or alien intelligence show evidence of being
5015:
778:
of the bot itself. AI's information is often pulled from past human decisions or inequalities that can lead to biases in the decision-making processes for that bot.
7712:
4507:
1442:, paralleling similar announcements by Russia and South Korea respectively. Due to the potential of AI weapons becoming more dangerous than human-operated weapons,
2788:
1231:
had experienced consciousness, but also that he considered there to be a serious possibility that large language models may become conscious in the future. In the
8642:
7676:"Request for Comments on a Draft Memorandum to the Heads of Executive Departments and Agencies, "Guidance for Regulation of Artificial Intelligence Applications""
7010:. In Singularity Hypotheses: A Scientific and Philosophical Assessment, edited by Amnon Eden, Johnny SΓΈraker, James H. Moor, and Eric Steinhart. Berlin: Springer.
617:
In the review of 84 ethics guidelines for AI, 11 clusters of principles were found: transparency, justice and fairness, non-maleficence, responsibility, privacy,
7493:
3328:
1411:' and understand the kill-chain process. However, a major concern is how the report will be implemented. The US Navy has funded a report which indicates that as
609:
are robots. Robot ethics considers how machines may be used to harm or benefit humans, their impact on individual autonomy, and their effects on social justice.
7514:
10270:
5164:
3804:
Castelnovo A, Inverardi N, Nanino G, Penco IG, Regoli D (2023). "Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms".
2033:
possible circumstances. More recently, academics and many governments have challenged the idea that AI can itself be held accountable. A panel convened by the
558:
and by providing a platform for experimental investigation. As one example, it has introduced normative ethicists to the controversial issue of which specific
10351:
10293:
2431:
1525:
470:
297:
6105:
3067:
2341:
series of games. It explores the scenario of a civilization accidentally creating AI through a rapid increase in computational power through a global scale
1902:'s computer science curriculum to develop a future generation of computer scientists with worldview that takes into account the social impact of their work.
5454:
8315:
4614:
1661:
promoting moral behavior as well as responsible robot design and use, ensuring that robots maintain moral principles and are congruent with human values.
10422:
4181:
Luo Q, Puett MJ, Smith MD (2023-03-28). "A Perspectival Mirror of the Elephant: Investigating Language Bias on Google, ChatGPT, Knowledge, and YouTube".
3960:
8460:
7830:
2334:
explored some aspects of Asimov's three laws. All these scenarios try to foresee possibly unethical consequences of the creation of sentient computers.
774:
and other policymakers to improve AI's problems with biases. Oftentimes the reasons for biases within AI is the data behind the program rather than the
6588:
6505:
1427:
view, there is a chance that robots will develop the ability to make their own logical decisions on whom to kill and that is why there should be a set
792:
Examples of AI being proven to have bias include when the system used to predict which defendants would be more likely to commit crimes in the future,
8236:
7733:
7625:
7250:
4530:
3616:
1763:
1607:
1146:
388:
5075:
10462:
8061:
5893:
6198:
5604:
1415:
become more complex, there should be greater attention to implications of their ability to make autonomous decisions. Some researchers state that
1380:
while convenient, are not a complete substitute. Before autonomous cars become widely used, these issues need to be tackled through new policies.
1341:
objects to the moralizing tone of Weizenbaum's critique. "When moralizing is both vehement and vague, it invites authoritarian abuse," he writes.
1160:, though some considered this to be more of a publicity stunt than a meaningful legal recognition. Some saw this gesture as openly denigrating of
1084:
AI has been slowly making its presence more known throughout the world, from chat bots that seemingly have answers for every homework question to
10701:
7112:
6411:
6169:
5570:
1877:
1403:
has commissioned a study to look at this issue. They point to programs like the Language Acquisition Device which can emulate human interaction.
5142:
4078:
Cirillo D, Catuara-Solarz S, Morey C, Guney E, Subirats L, Mellino S, Gigante A, Valencia A, Rementeria MJ, Chadha AS, Mavridis N (2020-06-01).
11564:
10457:
8083:
7228:
3507:
1870:
1345:
writes that "Human dignity requires that we strive to remove our ignorance of the nature of existence, and AI is necessary for that striving."
538:(scanning a brain and simulating it on digital hardware) could also in principle lead to human-like robots, thus capable of moral actions. And
8817:
926:
on Transparency of Autonomous Systems: IEEE 7001-2021. The IEEE effort identifies multiple scales of transparency for different stakeholders.
10641:
10621:
7646:
6284:
2469:
2259:
deal with the question of what can happen if technology tries to find the ideal partner for a person. Several episodes of the Netflix series
1558:
8587:
7405:
2945:
10017:
4838:
3148:
2861:
2750:
2728:
1962:
period has several times envisioned artificial creatures that escape the control of their creator with dire consequences, most famously in
918:
However, making code open source does not make it comprehensible, which by many definitions means that the AI code is not transparent. The
5310:
8560:
6718:
6228:
5937:
4428:
Cheng M, Durmus E, Jurafsky D (2023-05-29). "Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models".
3299:
2155:, to gauge emotional responses of androids indistinguishable from humans. The novel later became the basis of the influential 1982 movie
1756:
184:
149:
8519:
5242:
4577:
6527:
4869:
1794:
8142:
7859:
Floridi L, Cowls J, Beltrametti M, Chatila R, Chazerand P, Dignum V, Luetge C, Madelin R, Pagallo U, Rossi F, Schafer B (2018-12-01).
2421:
1947:
already poses the question if we might attribute intelligence to a mechanism that behaves as if it were a sentient being, and so does
11569:
11320:
9038:
6131:
3178:
2527:
8539:
6978:
6748:
6653:
4341:"From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models"
10757:
10427:
8433:
7464:
6867:
1770:, with policies around granting rights to robots, animals and generally, non-human entities whose intelligence has been overlooked.
1486:
248:
226:
4635:
2208:, published in 2019, involves, among many other things, a love-triangle involving an artificial person as well as a human couple.
1835:, whose primary goal, among others, is to promote AI ethics as a field proper in comparison to related applied ethics fields. The
1575:
could arise. It could kill off all other agents, persuade them to change their behavior, or block their attempts at interference.
1019:
is set out to rectify this, by ensuring that AI systems are treated with at least as much care as one would expect under ordinary
10986:
10467:
10049:
9030:
7809:
Grace K, Salvatier J, Dafoe A, Zhang B, Evans O (2018-05-03). "When Will AI Exceed Human Performance? Evidence from AI Experts".
4474:
2044:
1773:
In Russia, the first-ever Russian "Codex of ethics of artificial intelligence" for business was signed in 2021. It was driven by
1498:
162:
6838:
8739:
6489:
6390:
5547:
4407:
3470:
1434:
There has been a recent outcry with regard to the engineering of artificial intelligence weapons that have included ideas of a
86:
6546:
4545:
3398:
2886:
2037:
in 2010 revised Asimov's laws to clarify that AI is the responsibility either of its manufacturers, or of its owner/operator.
11157:
8811:
8761:
8682:
8384:
8346:
8029:
7982:
7515:"White Paper on Artificial Intelligence β a European approach to excellence and trust | Shaping Europe's digital future"
7270:
7167:
7136:
7049:
6913:
6905:
6270:
5978:
5665:
4701:
4450:
4266:
4221:
3954:
3536:
3088:
2822:
2562:
2453:
2448:
2231:
2145:
2094:
development. It has been documented, for instance, that the young Alan Turing saw and appreciated aforementioned Shaw's play
1622:
There are many organizations concerned with AI ethics and policy, public and governmental as well as corporate and societal.
1590:, there is little reason to suppose that an artificially designed mind would have such an adaptation. AI researchers such as
1036:
766:. To stop these biases there is not one single answer that can be used. The most useful approach has seemed to be the use of
477:
430:
381:
307:
261:
216:
211:
5626:
5458:
4975:
4888:"Working in contexts for which transparency is important: A recordkeeping view of explainable artificial intelligence (XAI)"
4782:
3646:
3118:
1939:
Historically speaking, the investigation of moral and ethical implications of "thinking machines" goes back at least to the
1271:
argued in 1976 that AI technology should not be used to replace people in positions that require respect and care, such as:
7946:
7924:
6353:
2508:
5004:
4715:
1458:
is virtually inevitable, and the endpoint of this technological trajectory is obvious: autonomous weapons will become the
10979:
10694:
10065:
8896:
8886:
7704:
4498:
3448:
977:
903:
have been actively open-sourcing AI software. Various open-weight large language models have also been released, such as
559:
360:
332:
327:
221:
6919:
5691:"Learning from the Failure of Autonomous and Intelligent Systems: Accidents, Safety, and Sociotechnical Sources of Risk"
2780:
2377:. A Cosmist, according to Hugo de Garis, is actually seeking to build more intelligent successors to the human species.
10729:
10609:
7023:
4665:
3827:"Examining the assumptions of AI hiring assessments and their impact on job seekers' autonomy over self-representation"
2294:
suggests a future where the dominant species on planet Earth are sentient machines and humanity is treated with utmost
2075:
1338:
1085:
320:
189:
179:
169:
7485:
3419:
Abdalla M, Wahle JP, Ruas T, NΓ©vΓ©ol A, Ducel F, Mohammad S, Fort K (2023). Rogers A, Boyd-Graber J, Okazaki N (eds.).
3320:
1063:, and many countries are presently working on strategies for regulating AI, and finding appropriate legal frameworks.
11340:
11335:
11288:
10969:
7003:
6783:
6000:
4935:"Ethics & AI: A Systematic Review on Ethical Concerns and Related Strategies for Designing with AI in Healthcare"
2751:"Elon Musk says humans could eventually download their brains into robots β and Grimes thinks Jeff Bezos would do it"
1689:
has a High-Level Expert Group on Artificial Intelligence. On 8 April 2019, this published its "Ethics Guidelines for
1657:
734:
708:
442:
409:
covers a broad range of topics within the field that are considered to have particular ethical stakes. This includes
238:
204:
71:
3909:
10356:
9077:
7788:
5112:
4607:"Hugging Face CEO says he's focused on building a 'sustainable model' for the $ 4.5 billion open-source-AI startup"
2062:
Also in 2009, during an experiment at the Laboratory of Intelligent Systems in the Ecole Polytechnique FΓ©dΓ©rale of
1711:
adopted the Recommendation on the Ethics of Artificial Intelligence, the first global standard on the ethics of AI.
1106:
374:
278:
124:
8960:
2316:, who, for the best motives, has created the system to give medical assistance in case of emergencies. The movies
1481:
has warned of catastrophic instances like "dumb robots going rogue or a network that develops a mind of its own."
11350:
10311:
6097:
5968:
4887:
3059:
2405:
1263:
960:
948:
56:
1364:
the controls were fully in the hand of computers. This led to a dilemma over who was at fault for the accident.
1250:. These machines could also be engineered to feel intense and positive subjective experience, unaffected by the
11520:
10687:
10417:
10033:
8975:
8307:
4606:
4588:
4345:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
3425:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
1881:
1746:
1439:
699:
Microsoft found that they have higher error rates when transcribing black people's voices than white people's.
1223:
in February 2022, when he wrote that today's large neural nets may be "slightly conscious". In November 2022,
11574:
9850:
9267:
8468:
7861:"AI4PeopleβAn Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations"
2676:"Machine Ethics: The Design and Governance of Ethical AI and Autonomous Systems [Scanning the Issue]"
2426:
1232:
1200:
3559:"Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science"
11210:
11203:
10648:
10508:
10437:
10097:
10057:
9970:
8220:
5861:
4595:
of the First Conference on Artificial General Intelligence, eds. Pei Wang, Ben Goertzel, and Stan Franklin.
3211:, Nam A, Lake E, Nudell J, Quartey M, Mengesha Z, Toups C, Rickford JR, Jurafsky D, Goel S (7 April 2020).
2324:
2179:
shows what can happen if a user falls in love with the seductive voice of his smartphone operating system;
2135:
1828:
1567:
1502:
1024:
466:
7609:
4522:
1566:
argues that artificial intelligence has the capability to bring about human extinction. He claims that an
11062:
11037:
11022:
10654:
9729:
6568:
AI principles: recommendations on the ethical use of artificial intelligence by the Department of Defense
1694:
1068:
931:
713:
414:
243:
194:
91:
8053:
4021:
Imran A, Posokhova I, Qureshi HN, Masood U, Riaz MS, Ali K, John CN, Hussain MI, Nabeel M (2020-01-01).
3679:
1133:"Robot rights" is the concept that people should have moral obligations towards their machines, akin to
10025:
8120:
6190:
5865:
5600:
2554:
2303:
2125:
1918:
1790:
1354:
1276:
1117:
1007:
or deliberate criminal action has led to unethical outcomes produced through an AI system. Some recent
919:
454:
66:
49:
7193:"Unpredictability of AI: On the Impossibility of Accurately Predicting All Actions of a Smarter Agent"
6161:
5578:
3421:"The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research"
11235:
11215:
11123:
11119:
11042:
10734:
10407:
10391:
10341:
10216:
7762:
7066:
5524:
5134:
3647:"Google's AI chief says forget Elon Musk's killer robots, and worry about bias in AI systems instead"
3119:"Google's AI chief says forget Elon Musk's killer robots, and worry about bias in AI systems instead"
2613:
Anderson M, Anderson SL (15 December 2007). "Machine Ethics: Creating an Ethical Intelligent Agent".
2215:
2187:
1944:
1888:
conducts research across various domains such as mobility, employment, healthcare and sustainability.
1836:
1831:
that focuses both on AI Safety and the Governance of AI. The Institute for Ethics in AI, directed by
1729:
administration put together a Roadmap for AI Policy. The Obama Administration released two prominent
1542:
1533:
1493:
759:
695:
579:
418:
144:
7192:
3499:
2921:
1996:, published in 1921, questions at one point the validity of thinking machines that act like humans;
37:
11240:
10880:
10865:
10854:
10831:
10442:
10361:
10232:
9719:
9376:
9132:
2400:
1393:
1142:
1098:
1043:
720:β the source material the algorithm uses to learn about the relationships between different words.
531:
499:
438:
268:
8628:
A. M. Turing (1936). "On computable numbers, with an application to the Entscheidungsproblem." in
7734:"Request Comments on Draft: A 20-Year Community Roadmap for AI Research in the US Β» CCC Blog"
5658:
Close engagements with artificial companions: key social, psychological, ethical and design issues
5334:
2139:
is based, was written in 1948 and published in 1952. Another example (among many others) would be
11478:
11225:
11220:
11193:
11128:
11082:
11077:
11012:
10905:
10297:
7397:
4080:"Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare"
2937:
2814:
2318:
2308:
2260:
2198:
The theme of coexistence with artificial sentient beings is also the theme of two recent novels:
2150:
1572:
1236:
1196:
999:, that is, assumed to have human-like characteristics, resulting in misplaced conceptions of its
983:
In healthcare, the use of complex AI methods or techniques often results in models described as "
406:
29:
10262:
7067:"Evaluating future nanotechnology: The net societal impacts of atomically precise manufacturing"
4204:
Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance
2846:
2724:
2312:, which is an apparently sentient copy of a reduced subset of the consciousness of its creator,
11433:
11423:
10841:
10767:
10724:
10366:
9709:
9310:
9262:
7564:
7298:"Beneficial Artificial Intelligence Coordination by Means of a Value Sensitive Design Approach"
4237:
Kotek H, Dockum R, Sun D (2023-11-05). "Gender bias and stereotypes in Large Language Models".
4202:
Busker T, Choenni S, Shoae Bargh M (2023-11-20). "Stereotypes in ChatGPT: An empirical study".
2916:
2106:
2029:
2002:
1645:
1553:
1126:
1094:
904:
749:
that overestimated blood oxygen levels in patients with darker skin, causing issues with their
139:
7543:
6220:
3790:
3271:
2366:
11283:
11278:
11230:
11198:
11188:
11147:
10927:
10804:
10710:
10321:
10089:
10081:
10009:
9965:
9327:
9322:
9217:
6942:
6699:
5234:
4574:
2349:
1247:
1125:
in front of elevator doors stating "Robot Has Priority", a situation that may be regarded as
535:
8484:"Partners of Humans: A Realistic Assessment of the Role of Robots in the Foreseeable Future"
8483:
4866:
11263:
11258:
11133:
11017:
10922:
10895:
10777:
10412:
10206:
9346:
9336:
9317:
9295:
9257:
9195:
9107:
9070:
8915:
8338:
Information Technology and the Productivity Paradox: Assessing the Value of Investing in IT
6317:
5702:
4339:
Feng S, Park CY, Liu Y, Tsvetkov Y (July 2023). Rogers A, Boyd-Graber J, Okazaki N (eds.).
3224:
2416:
2276:
2051:", meaning that there should also be efforts to make AI intrinsically friendly and humane.
2025:
1940:
1928:
1824:
1738:
1516:
was held in 2023 in the Hague on the issue of using AI responsibly in the military domain.
1275:
A customer service representative (AI technology is already used today for telephone-based
636:
618:
539:
81:
9870:
6970:
4839:"OpenAI co-founder on company's past approach to openly sharing research: "We were wrong""
4402:
4023:"AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app"
2230:
While ethical questions linked to AI have been featured in science fiction literature and
1327:
formalized and ingrained, which makes them even more difficult to spot and fight against.
8:
11325:
11007:
10900:
10875:
10860:
10789:
10627:
10176:
10137:
10113:
9980:
9900:
9880:
9855:
9825:
9237:
9117:
7262:
5690:
5076:"UN artificial intelligence summit aims to tackle poverty, humanity's 'grand challenges'"
2523:
2254:
2248:
1987:
1759:
advises US policymakers on the security implications of emerging technologies such as AI.
1686:
923:
503:
233:
8919:
8791:
7428:
6321:
5706:
4316:
4283:
3896:
3228:
11473:
11428:
11315:
11138:
10959:
10794:
10784:
10171:
10166:
10001:
9940:
9810:
9398:
9305:
9290:
9242:
9190:
9018:
8998:
8941:
8860:
8511:
8201:
7893:
7860:
7810:
7456:
7373:
7340:
7220:
7104:
6691:
6645:
6469:
6276:
6250:
6076:
6054:
5841:
5819:
5773:
5755:
5395:
5360:
5297:
4915:
4763:
4707:
4429:
4387:
4348:
4242:
4182:
4114:
4079:
4055:
4022:
3805:
3768:
3741:
3595:
3428:
3372:
3247:
3212:
3040:
2999:
2981:
2705:
2630:
2595:
2463:
2458:
1992:
1899:
1546:
1008:
818:
750:
733:
awareness to AI biases. There are however some limitations to the current landscape of
690:
631:
and Josh Cowls created an ethical framework of AI principles set by four principles of
498:
Machine ethics (or machine morality) is the field of research concerned with designing
476:
Some application areas may also have particularly important ethical implications, like
283:
8284:
7974:
Surviving the machine age: intelligent technology and the transformation of human work
7427:
Slota SC, Fleischmann KR, Greenberg S, Verma N, Cummings B, Li L, Shenefiel C (2023).
6609:
5744:
Agarwal A, Edelman S (2020). "Functionally effective conscious AI without suffering".
4206:. ICEGOV '23. New York, NY, USA: Association for Computing Machinery. pp. 24β32.
3712:(13). Association for the Advancement of Artificial Intelligence (AAAI): 15421β15430.
3617:"Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities"
1885:
1492:
Regarding the potential for smarter-than-human systems to be employed militarily, the
11532:
11305:
11162:
10952:
10917:
10811:
10750:
10593:
10568:
10386:
10226:
10211:
10201:
10181:
9930:
9761:
9664:
9654:
9383:
9341:
8933:
8864:
8807:
8731:
8688:
8678:
8503:
8380:
8342:
8288:
8228:
8193:
8035:
8025:
7988:
7978:
7898:
7880:
7617:
7460:
7448:
7378:
7360:
7266:
7224:
7212:
7173:
7163:
7153:
7108:
7096:
7045:
6909:
6637:
6571:
6473:
6461:
6335:
6280:
6266:
6127:
6058:
6020:
5996:
5974:
5964:
5885:
5823:
5796:"Artificial Suffering: An Argument for a Global Moratorim on Synthetic Phenomenology"
5777:
5726:
5718:
5671:
5661:
5439:
5422:
5400:
5382:
5302:
5284:
5216:
5195:"Emerging Consensus on 'Ethical AI': Human Rights Critique of Stakeholder Guidelines"
4956:
4919:
4907:
4767:
4755:
4740:"Ethical issues in the development of artificial intelligence: recognizing the risks"
4711:
4697:
4321:
4303:
4262:
4217:
4160:
4119:
4101:
4060:
4042:
4003:
3950:
3901:
3883:
3844:
3745:
3733:
3376:
3291:
3252:
3044:
3003:
2842:
2818:
2697:
2558:
2281:
2210:
2192:
2180:
2110:
2040:
1591:
1587:
1579:
1529:
1268:
1251:
1020:
996:
793:
583:
567:
61:
11403:
9022:
8719:
8205:
6695:
6649:
6486:
5539:
5359:
Challen R, Denny J, Pitt M, Gompels L, Edwards T, Tsaneva-Atanasova K (March 2019).
4363:
3443:
2709:
2634:
1948:
11503:
11458:
11438:
10974:
10964:
10947:
10615:
10588:
10488:
10336:
10196:
10121:
10105:
9935:
9920:
9865:
9644:
9426:
9393:
9388:
9285:
9185:
9122:
9102:
9094:
9008:
8945:
8923:
8850:
8799:
8643:"Love, Death & Robots season 2, episode 1 recap - "Automated Customer Service""
8515:
8495:
8413:
8280:
8275:
8270:
8258:
8183:
7888:
7872:
7440:
7368:
7352:
7319:
7309:
7258:
7204:
7157:
7133:
7086:
7078:
6683:
6629:
6621:
6453:
6325:
6258:
6046:
5988:
5915:
5877:
5809:
5791:
5765:
5710:
5519:
5509:
5466:
5434:
5390:
5372:
5292:
5276:
5206:
4946:
4899:
4747:
4689:
4397:
4379:
4358:
4311:
4295:
4252:
4207:
4150:
4109:
4091:
4050:
4034:
3993:
3942:
3891:
3875:
3834:
3786:
3778:
3723:
3713:
3570:
3528:
3438:
3390:
3362:
3283:
3242:
3232:
3208:
3030:
2991:
2687:
2622:
2599:
2587:
2578:
Anderson M, Anderson S (July 2006). "Guest Editors' Introduction: Machine Ethics".
2437:
2200:
2120:
1891:
1858:
1625:
1599:
1454:"If any major military power pushes ahead with the AI weapon development, a global
1424:
1416:
1360:
1331:
1318:
1283:
1204:
856:
704:
665:
587:
555:
518:
410:
199:
134:
119:
8952:
7082:
5514:
5497:
5105:"Artificial intelligence β Organisation for Economic Co-operation and Development"
4241:. CI '23. New York, NY, USA: Association for Computing Machinery. pp. 12β24.
1051:
leads to systemic stability more able to support innovation in the long term. The
11493:
11453:
11375:
11330:
11167:
11072:
11057:
11032:
10846:
10826:
10553:
10533:
10523:
10513:
10447:
10381:
10251:
9985:
9724:
9679:
9639:
9587:
9532:
9522:
9446:
9421:
9403:
9356:
9247:
9180:
9175:
9063:
8964:
8803:
8546:
7792:
7140:
7027:
7007:
6753:
6719:"We can train AI to identify good and evil, and then use it to teach us morality"
6703:
6595:
6553:
6534:
6512:
6493:
6132:"Self-driving Uber kills Arizona woman in first fatal crash involving pedestrian"
6050:
5162:
4873:
4693:
4636:"The open-source AI boom is built on Big Tech's handouts. How long will it last?"
4592:
4581:
2857:
2475:
2411:
2337:
The ethics of artificial intelligence is one of several core themes in BioWare's
2330:
2313:
2299:
2130:
2007:
1840:
1798:
1767:
1611:
1478:
1443:
1412:
1368:
1208:
1179:, this philosophy holds that they should be shown compassion and granted rights.
872:
640:
628:
551:
76:
8892:
7916:
7647:"Accelerating America's Leadership in Artificial Intelligence β The White House"
6610:"The future of war: could lethal autonomous weapons make conflict more ethical?"
6262:
2500:
2054:
In 2009, academics and technical experts attended a conference organized by the
2010:
leading the uprising of the exploited masses against the oppressive regime of a
1489:
at Cambridge University in the hope of avoiding this threat to human existence.
11544:
11413:
11273:
10912:
10821:
10376:
10221:
9975:
9875:
9860:
9835:
9830:
9714:
9604:
9542:
9461:
9451:
9441:
9351:
9232:
9227:
9212:
9152:
9137:
9112:
9013:
8986:
8855:
8838:
8188:
8171:
7356:
6625:
6556:, Association for the Advancement of Artificial Intelligence, Accessed 7/26/09.
6330:
6305:
5837:
5280:
5165:"Policy and investment recommendations for trustworthy Artificial Intelligence"
4751:
4683:
3935:"Different approaches for liability of Artificial Intelligence β Pros and Cons"
3863:
3839:
3826:
2692:
2675:
2342:
2219:
2140:
2034:
1832:
1690:
1603:
1323:
1224:
1220:
1153:
1122:
972:
956:
864:
746:
738:
725:
591:
507:
489:
458:
434:
422:
8692:
8499:
8418:
8401:
8039:
7876:
7208:
7177:
6687:
6575:
6457:
5814:
5795:
5769:
5470:
5377:
5265:"AI-deploying organizations are key to addressing 'perfect storm' of AI risks"
4299:
4096:
4038:
3934:
3879:
3718:
3701:
3035:
3018:
2995:
1979:
1505:(FHI), and there seems to have been less analysis and debate regarding them".
951:, eventually switched to a closed-source approach, citing competitiveness and
11558:
11463:
11398:
11370:
11298:
11027:
10942:
10583:
10528:
10498:
9905:
9845:
9795:
9634:
9572:
9557:
9456:
9371:
9300:
9252:
9160:
9142:
8735:
8507:
8292:
8232:
7992:
7884:
7621:
7452:
7364:
7216:
7100:
6896:
6641:
6465:
5889:
5722:
5675:
5386:
5288:
5264:
5220:
4960:
4911:
4903:
4759:
4739:
4340:
4307:
4164:
4105:
4046:
4007:
3946:
3887:
3848:
3737:
3591:
3420:
3295:
2701:
2626:
2374:
2370:
1851:
1847:
1802:
1722:
1334:). To Weizenbaum, these points suggest that AI research devalues human life.
1303:
1182:
1138:
852:
786:
682:
575:
571:
522:
517:
There are discussions on creating tests to see if an AI is capable of making
129:
7020:
6441:
5881:
5211:
5194:
4257:
4212:
4139:"Bias in data-driven artificial intelligence systemsβAn introductory survey"
3272:"Bias in data-driven artificial intelligence systemsβAn introductory survey"
3237:
11508:
11488:
11443:
11418:
11408:
11380:
11310:
11268:
11142:
11096:
11067:
11047:
10573:
10503:
10316:
10186:
10129:
9960:
9955:
9950:
9925:
9895:
9629:
9502:
9436:
9431:
9366:
9222:
9207:
8937:
8674:
AI narratives: a history of imaginative thinking about intelligent machines
8672:
8197:
8019:
7902:
7382:
7000:
6674:
HellstrΓΆm T (June 2013). "On the moral responsibility of military robots".
6339:
5730:
5404:
5306:
4347:. Toronto, Canada: Association for Computational Linguistics: 11737β11762.
4325:
4123:
4064:
3905:
3427:. Toronto, Canada: Association for Computational Linguistics: 13141β13160.
3256:
2838:
2285:
2243:
2162:
2157:
2015:
1968:
1963:
1730:
1595:
1563:
1538:
1471:
1467:
1342:
1243:
1161:
1157:
1134:
1000:
930:
determine the right thing to do. Furthermore, open-weight AI models can be
896:
891:
767:
603:
563:
511:
493:
462:
450:
273:
7972:
6775:
3367:
3350:
1751:
A 20-Year Community Roadmap for Artificial Intelligence Research in the US
433:. It also covers various emerging or potential future challenges such as
11498:
11483:
11468:
11448:
11365:
11293:
11110:
11100:
11087:
11052:
11002:
10932:
10885:
10772:
10762:
10578:
10563:
10371:
10331:
9885:
9689:
9466:
9127:
6809:"Why Artificial Intelligence Can Too Easily Be Weaponized β The Atlantic"
5418:
4976:"The Regulation of AI β Should Organizations Be Worried? | Ayanna Howard"
3998:
3981:
3575:
3558:
2969:
2390:
2338:
2237:
2170:
2149:, published in 1968, and featuring its own version of a Turing Test, the
2102:, which was an international success and translated into many languages.
2048:
2011:
1959:
1952:
1923:
1447:
1435:
1172:
1165:
940:
880:
717:
526:
302:
287:
10679:
8561:"Better Made Up: The Mutual Influence of Science Fiction and Innovation"
7785:
7324:
7314:
7297:
7091:
6633:
5104:
4284:"Threats by artificial intelligence to human health and human existence"
3864:"Threats by artificial intelligence to human health and human existence"
3728:
3321:"Amazon scraps secret AI recruiting tool that showed bias against women"
2591:
11385:
11114:
11105:
11092:
10836:
10799:
10543:
10518:
10493:
10452:
10432:
9945:
9915:
9910:
9890:
9840:
9751:
9609:
9552:
9512:
9507:
9277:
9200:
8957:
8314:(Summer 2020 ed.), Metaphysics Research Lab, Stanford University,
8054:"TUM Institute for Ethics in Artificial Intelligence officially opened"
7796:
6749:"South Korea developing new stealthy drones to support combat aircraft"
6306:"Self-driving car dilemmas reveal that moral choices are not universal"
5714:
2944:(Winter 2020 ed.), Metaphysics Research Lab, Stanford University,
2443:
2395:
2295:
2290:
2205:
2174:
1997:
1806:
1665:
1004:
947:, initially committed to an open-source approach to the development of
936:
912:
900:
860:
622:
11539:
9031:
Ethical Aspects of Artificial Intelligence: Challenges and Imperatives
8762:""Detroit: Become Human" Will Challenge your Morals and your Humanity"
8670:
7444:
4951:
4934:
4380:"Entity-Based Evaluation of Political Bias in Automatic Summarization"
4155:
4138:
3287:
2422:
Effective altruism, the long term future and global catastrophic risks
11152:
10745:
10558:
10548:
10326:
10161:
10073:
9805:
9785:
9684:
9594:
9567:
9547:
9492:
9361:
9170:
8671:
Cave, Stephen, Dihal, Kanta, Dillon, Sarah, eds. (14 February 2020).
6506:
Science New Navy-funded Report Warns of War Robots Going "Terminator"
6496:, By Jason Palmer, Science and technology reporter, BBC News, 8/3/09.
5846:
4434:
4386:. Singapore: Association for Computational Linguistics: 10374β10386.
4384:
Findings of the Association for Computational Linguistics: EMNLP 2023
4187:
2649:
1641:
1482:
1455:
1419:
might be more humane, as they could make decisions more effectively.
1408:
1176:
984:
952:
876:
868:
781:
775:
763:
632:
446:
337:
101:
8928:
8903:
7159:
Human Compatible: Artificial Intelligence and the Problem of Control
6528:
Navy report warns of robot uprising, suggests a strong moral compass
4585:
3782:
2972:(2 September 2020). "The global landscape of AI ethics guidelines".
1986:) but was also an international success after it premiered in 1921.
1614:
have proposed design strategies for developing beneficial machines.
1399:
of their ability to make autonomous decisions. The President of the
11172:
10890:
10538:
10191:
10156:
9790:
9775:
9699:
9694:
9659:
9649:
9562:
9497:
9471:
9003:
8881:
8402:"Of, for, and by the people: the legal lacuna of synthetic persons"
8374:
7831:"China wants to shape the global future of artificial intelligence"
7815:
6565:
5760:
4392:
4353:
4247:
3810:
3773:
3700:
Ruggieri S, Alvarez JM, Pugnana A, State L, Turini F (2023-06-26).
3676:"Where in the World is AI? Responsible & Unethical AI Examples"
3600:
3433:
2986:
2115:
2063:
2020:
1778:
1633:
1428:
1090:
848:
644:
514:, and artificial agency, which are related to the concept of AMAs.
174:
96:
8259:"Leibniz's Mill Argument Against Mechanical Materialism Revisited"
6898:
The Idea of China: Chinese Thinkers on Power, Progress, and People
6806:
6383:"Automated Driving: Legislative and Regulatory Action β CyberWiki"
6081:
5041:"The General Data Protection Regulation Cross-industry innovation"
1896:
Harvard John A. Paulson School of Engineering and Applied Sciences
995:
A special case of the opaqueness of AI is that caused by it being
871:. Some of these players already own the vast majority of existing
10870:
10292:
9815:
9704:
9669:
9624:
9619:
9614:
9527:
9517:
7433:
Journal of the Association for Information Science and Technology
6412:"Autonomous Vehicles | Self-Driving Vehicles Enacted Legislation"
6075:
Hibbard B (17 November 2015). "Ethical Artificial Intelligence".
4378:
Zhou K, Tan C (December 2023). Bouamor H, Pino J, Bali K (eds.).
4282:
Federspiel F, Mitchell R, Asokan A, Umana C, McCoy D (May 2023).
3862:
Federspiel F, Mitchell R, Asokan A, Umana C, McCoy D (May 2023).
1951:, who describes what could be considered an early version of the
1786:
1777:
together with major commercial and academic institutions such as
1311:
806:
754:
648:
426:
342:
8792:"Re-Designing Humankind: The Rise of Cyborgs, a Desirable Goal?"
8021:
Automation and utopia: human flourishing in a world without work
7970:
7581:"UNESCO member states adopt first global agreement on AI ethics"
6197:. Law and Public Policy. Radio Business North America Podcasts.
5163:
European Commission High-Level Expert Group on AI (2019-06-26).
4814:"Should we make our most powerful AI models open source to all?"
4685:
7001-2021 - IEEE Standard for Transparency of Autonomous Systems
4136:
3759:
Buyl M, De Bie T (2022). "Inherent Limitations of AI Fairness".
3589:
3269:
1873:(IEET) researches the effects of AI on unemployment, and policy.
10937:
10472:
9800:
9741:
9674:
9599:
9476:
9086:
6547:
AAAI Presidential Panel on Long-Term AI Futures 2008β2009 Study
4077:
2650:"Philosophical Signposts for Artificial Moral Agent Frameworks"
1973:
1782:
1708:
1629:
1227:
argued that it was unlikely current large language models like
1216:
1016:
944:
771:
402:
8084:"Harvard works to embed ethics in computer science curriculum"
7858:
7426:
4783:"Microsoft Calls For Federal Regulation of Facial Recognition"
3941:, Nomos Verlagsgesellschaft mbH & Co. KG, pp. 41β96,
3803:
2328:
deal with the possibility of sentient robots that could love.
1843:, focuses on the ethics of near-term AI technologies and ICTs.
1775:
Analytical Center for the Government of the Russian Federation
1545:" and is the central point of discussion in the philosophy of
9780:
9770:
8979:
6589:
New Navy-funded Report Warns of War Robots Going "Terminator"
6162:"Who is responsible when a self-driving car has an accident?"
4281:
3861:
3706:
Proceedings of the AAAI Conference on Artificial Intelligence
3675:
3594:, DaumΓ© III H, Crawford K (2018). "Datasheets for Datasets".
3563:
Transactions of the Association for Computational Linguistics
1726:
1463:
1459:
1228:
908:
685:
speaking about racial bias in artificial intelligence in 2020
8112:
6943:"International military AI summit ends with 60-state pledge"
5957:
5955:
5840:(March 2023). "Could a Large Language Model be Conscious?".
3824:
1509:
as a scapegoat to evade accountability for decision-making.
10816:
10042:
An Introduction to the Principles of Morals and Legislation
9820:
9736:
9582:
9577:
9537:
8967:, an article on humanity's fear of artificial intelligence.
7398:"Facebook, Google, Amazon create group to ease AI concerns"
7341:"How to Design AI for Social Good: Seven Essential Factors"
4020:
3699:
1810:
1701:
1652:
1372:
1052:
651:) and an additional AI enabling principle β explicability.
7971:
James J. Hughes, LaGrandeur, Kevin, eds. (15 March 2017).
7758:
5601:"Saudi Arabia bestows citizenship on a robot named Sophia"
5459:"Artificial Personal Autonomy and Concept of Robot Rights"
4666:"Google Unveils Open Source Models to Rival Meta, Mistral"
3982:"Getting AI Right: Introductory Notes on AI & Society"
3019:"A Unified Framework of Five Principles for AI in Society"
2056:
Association for the Advancement of Artificial Intelligence
1401:
Association for the Advancement of Artificial Intelligence
1310:
Weizenbaum explains that we require authentic feelings of
1074:
976:
advocacy and in some jurisdictions legal requirements for
737:, due e.g. to the intrinsic ambiguities in the concept of
9746:
9055:
9039:"AI Is an Existential Threat--Just Not the Way You Think"
8901:
7947:"New Artificial Intelligence Research Institute Launches"
7251:"Moral Machines: From Value Alignment to Embodied Virtue"
6598:, by Jason Mick (Blog), dailytech.com, February 17, 2009.
6515:, by Jason Mick (Blog), dailytech.com, February 17, 2009.
6257:, Cham: Springer International Publishing, pp. 1β6,
5952:
5005:"Trust in artificial intelligence - A five country study"
4546:"In the Age of A.I., Tech's Little Guys Need Big Friends"
4239:
Proceedings of the ACM Collective Intelligence Conference
3089:"5 unexpected sources of bias in artificial intelligence"
2781:"Massaging AI language models for fun, profit and ethics"
2357:
Over time, debates have tended to focus less and less on
1862:
1669:
1637:
1617:
1003:. This can cause people to overlook whether either human
7808:
4451:"Big Tech is spending more than VC firms on AI startups"
4201:
2673:
883:, allowing them to entrench further in the marketplace.
621:, freedom and autonomy, trust, sustainability, dignity,
8588:"Science-Fiction: A Mirror for the Future of Humankind"
8305:
7566:
Recommendation on the Ethics of Artificial Intelligence
7539:
6993:
6868:"Potential Risks from Advanced Artificial Intelligence"
6839:"Musk, Hawking Warn of Artificial Intelligence Weapons"
6607:
5358:
5329:
5327:
3179:"Facial Recognition Is Accurate, if You're a White Guy"
3149:"Artificial intelligence and bias: Four key challenges"
1060:
1056:
1012:
8987:"The Ethics of AI Ethics: An Evaluation of Guidelines"
8024:. Cambridge, Massachusetts: Harvard University Press.
7338:
6894:
6191:"Autonomous Car Crashes: Who β or What β Is to Blame?"
5498:"The artificial intelligence entity as a legal person"
3825:
Aizenberg E, Dennis MJ, van den Hoven J (2023-10-21).
3471:"Google's DeepMind Has An Idea For Stopping Biased AI"
3418:
2911:
Veruggio, Gianmarco (2011). "The Roboethics Roadmap".
2674:
Winfield AF, Michael K, Pitt J, Evers V (March 2019).
2269:
2088:
10352:
Existential risk from artificial general intelligence
8798:, Dordrecht: Springer Netherlands, pp. 185β195,
7705:"CCC Offers Draft 20-Year AI Roadmap; Seeks Comments"
7490:
Shaping Europeβs digital future β European Commission
7429:"Locating the work of artificial intelligence ethics"
7143:. In Schmidhuber, ThΓ³risson, and Looks 2011, 388β393.
5938:"The intelligent monster that you should let eat you"
5627:"Pretending to give a robot citizenship helps no one"
5571:"Human rights for robots? We're getting carried away"
5262:
5169:
Shaping Europeβs digital future β European Commission
3207:
2432:
Existential risk from artificial general intelligence
2143:'s numerous short stories and novels β in particular
1526:
Existential risk from artificial general intelligence
1376:
government should be held responsible for her death.
8902:
Russell S, Hauert S, Altman R, Veloso M (May 2015).
7197:
Journal of Artificial Intelligence and Consciousness
7021:"Ethical Issues in Advanced Artificial Intelligence"
5801:
Journal of Artificial Intelligence and Consciousness
5747:
Journal of Artificial Intelligence and Consciousness
5324:
3213:"Racial disparities in automated speech recognition"
10423:
Center for Human-Compatible Artificial Intelligence
8677:(First ed.). Oxford: Oxford University Press.
8558:
7044:. Oxford, United Kingdom: Oxford University Press.
7013:
6802:
6800:
6537:, by Joseph L. Flatley engadget.com, Feb 18th 2009.
6442:"Incorporating Ethics into Artificial Intelligence"
5423:"Posthuman Rights: Dimensions of Transhuman Worlds"
5361:"Artificial intelligence, bias and clinical safety"
4427:
4338:
2910:
2018:considered the issue of how to control machines in
1894:, the Higgins Professor of Natural Sciences at the
8720:"Sick, Slow, Cyborg: Crip Futurity in Mass Effect"
7610:"The Obama Administration's Roadmap for AI Policy"
6098:"Google's Self-Driving Car Caused Its First Crash"
5866:"Animal sentience and the precautionary principle"
5192:
4497:
4473:
3348:
2284:with sentient inhabitants are created by computer
2047:suggested in 2004 a need to study how to build a "
1348:
689:AI has become increasingly inherent in facial and
8400:Bryson J, Diamantis M, Grant T (September 2017).
6807:Zach Musgrave and Bryan W. Roberts (2015-08-14).
6608:Umbrello S, Torres P, De Bellis AF (March 2020).
3590:Gebru T, Morgenstern J, Vecchione B, Vaughan JW,
461:, how to treat certain AI systems if they have a
11556:
10463:Leverhulme Centre for the Future of Intelligence
6895:Bachulska A, Leonard M, Oertel J (2 July 2024).
6797:
6523:
6521:
6070:
6068:
5790:
3928:
3926:
3060:"The case for fairer algorithms β Iason Gabriel"
2967:
2938:"Ethics of Artificial Intelligence and Robotics"
2837:
2811:Moral Machines: Teaching Robots Right from Wrong
2612:
2577:
2548:
2501:"Ethics of Artificial Intelligence and Robotics"
1679:
1462:of tomorrow", says the petition, which includes
1282:A nursemaid for the elderly (as was reported by
548:Moral Machines: Teaching Robots Right from Wrong
480:, education, criminal justice, or the military.
5502:Information & Communications Technology Law
3217:Proceedings of the National Academy of Sciences
2669:
2667:
1878:Institute for Ethics in Artificial Intelligence
1854:to research questions of ethics and technology.
1749:weighed in with a 100-plus page draft report β
10458:Institute for Ethics and Emerging Technologies
8953:BBC News: Games to take on a life of their own
8893:Ethics of Artificial Intelligence and Robotics
8630:Proceedings of the London Mathematical Society
8081:
7977:. Cham, Switzerland: Palgrave Macmillan Cham.
7339:Floridi L, Cowls J, King TC, Taddeo M (2020).
6940:
6836:
6439:
6036:
5913:
5743:
5463:European Journal of Law and Political Sciences
5263:Curtis C, Gillespie N, Lockey S (2022-05-24).
4737:
4236:
3752:
3556:
2878:
1871:Institute for Ethics and Emerging Technologies
1552:Many researchers have argued that, through an
1474:as additional supporters against AI weaponry.
437:(how to make machines that behave ethically),
10695:
10642:Superintelligence: Paths, Dangers, Strategies
10622:Open letter on artificial intelligence (2015)
10278:
9071:
8904:"Robotics: Ethics of artificial intelligence"
8789:
8717:
8017:
7257:, Oxford University Press, pp. 383β412,
7248:
7042:Superintelligence: paths, dangers, strategies
6518:
6065:
5973:. San Francisco: W.H. Freeman & Company.
5655:
4180:
3923:
2963:
2961:
2854:Cambridge Handbook of Artificial Intelligence
2494:
2492:
2470:Superintelligence: Paths, Dangers, Strategies
2083:Institut de RobΓ²tica i InformΓ tica Industrial
2069:
1827:that are centrally focused on AI ethics. The
1559:Superintelligence: Paths, Dangers, Strategies
586:, while Chris Santos-Lang argued in favor of
382:
10018:Fifteen Sermons Preached at the Rolls Chapel
8164:
7064:
6971:"Scientists Worry Machines May Outsmart Man"
6964:
6962:
5453:
5335:"Why the world needs a Bill of Rights on AI"
5032:
4523:"Where the battle to dominate AI may be won"
3016:
2904:
2808:
2664:
2288:for the purpose of entertainment. The movie
8426:
8366:
7001:"Intelligence Explosion and Machine Ethics"
5562:
5139:Digital Single Market β European Commission
4744:International Journal of Ethics and Systems
4176:
4174:
2884:
2802:
2606:
2571:
2549:Anderson M, Anderson SL, eds. (July 2011).
2542:
1823:There are three research institutes at the
1757:Center for Security and Emerging Technology
1737:In January 2020, in the United States, the
1715:
842:
10702:
10688:
10285:
10271:
9078:
9064:
8984:
8540:Evolving Robots Learn To Lie To Each Other
8481:
8263:Ergo, an Open Access Journal of Philosophy
7190:
5995:(2nd ed.), Natick, MA: A. K. Peters,
4499:"Big tech and the pursuit of AI dominance"
3758:
3146:
2958:
2515:
2489:
1795:Moscow Institute of Physics and Technology
1704:established an OECD AI Policy Observatory.
1257:
562:to use in machines. For simple decisions,
389:
375:
11358:
11321:Relationship between religion and science
10709:
9012:
9002:
8927:
8854:
8836:
8458:
8417:
8274:
8187:
7892:
7814:
7395:
7372:
7323:
7313:
7090:
6999:Muehlhauser, Luke, and Louie Helm. 2012.
6959:
6746:
6673:
6566:United States. Defense Innovation Board.
6329:
6126:
6080:
6024:
5987:
5845:
5813:
5759:
5568:
5525:1820/c29a3daa-9e36-4640-85d3-d0ffdd18a62c
5523:
5513:
5438:
5394:
5376:
5296:
5210:
5132:
4950:
4932:
4604:
4433:
4401:
4391:
4362:
4352:
4315:
4256:
4246:
4211:
4186:
4154:
4143:WIREs Data Mining and Knowledge Discovery
4113:
4095:
4054:
3997:
3895:
3838:
3809:
3772:
3727:
3717:
3599:
3574:
3500:"Machine Learning Fairness | ML Fairness"
3442:
3432:
3366:
3276:WIREs Data Mining and Knowledge Discovery
3246:
3236:
3034:
2985:
2920:
2778:
2722:
2691:
1846:The Centre for Digital Governance at the
741:, both at philosophical and legal level.
543:inconsistency, scale insensitivity, etc.
10428:Centre for the Study of Existential Risk
8632:, 2 s. vol. 42 (1936β1937), pp. 230β265.
8552:
8143:"When Bias Is Coded Into Our Technology"
7295:
6890:
6888:
5836:
4171:
3932:
1906:
1487:Centre for the Study of Existential Risk
1371:was struck and killed by a self-driving
1116:
847:The commercial AI scene is dominated by
669:
10468:Machine Intelligence Research Institute
10050:Groundwork of the Metaphysics of Morals
8585:
8393:
8312:The Stanford Encyclopedia of Philosophy
8306:Bringsjord S, Govindarajulu NS (2020),
8172:"How one conference embraced diversity"
7152:
7039:
6968:
6248:
6074:
5235:"EU Tech Policy Brief: July 2019 Recap"
4836:
4774:
4568:
4448:
4377:
3979:
3557:Bender EM, Friedman B (December 2018).
3355:ACM Transactions on Information Systems
3057:
2942:The Stanford Encyclopedia of Philosophy
2847:"The Ethics of Artificial Intelligence"
2045:Machine Intelligence Research Institute
1898:has initiated the Embedded EthiCS into
1817:
1499:Machine Intelligence Research Institute
1431:framework that the AI cannot override.
1367:In another incident on March 18, 2018,
1203:. Edelman notes one exception had been
1075:Emergent or potential future challenges
817:Large language models often reinforces
11557:
9036:
8372:
7486:"Ethics guidelines for trustworthy AI"
7408:from the original on 17 September 2020
7134:"Complex Value Systems in Friendly AI"
6303:
6095:
6016:
6014:
5935:
5916:"Sharing the World with Digital Minds"
5688:
5495:
5193:Fukuda-Parr S, Gibbons E (July 2021).
4973:
3349:Friedman B, Nissenbaum H (July 1996).
2935:
2647:
2530:from the original on 28 September 2011
2498:
2113:", part of the short story collection
1618:Institutions in AI policy & ethics
971:Approaches like machine learning with
11565:Philosophy of artificial intelligence
10683:
10266:
9059:
8976:AI Ethics Guidelines Global Inventory
8256:
8218:
6981:from the original on 25 February 2017
6906:European Council on Foreign Relations
6885:
6716:
6218:
5860:
5660:. Amsterdam: John Benjamins Pub. Co.
5577:. The Times of London. Archived from
5550:from the original on October 15, 2019
5417:
5239:Center for Democracy & Technology
4811:
4738:Kamila MK, Jasrotia SS (2023-01-01).
4688:. IEEE. 4 March 2022. pp. 1β54.
4676:
2887:"Ethics for Artificial Intelligences"
2748:
2511:from the original on 10 October 2020.
2454:Regulation of artificial intelligence
2449:Philosophy of artificial intelligence
1147:U.K. Department of Trade and Industry
1037:Regulation of artificial intelligence
659:
654:
612:
8742:from the original on 9 December 2020
6934:
5914:Shulman C, Bostrom N (August 2021).
4885:
4543:
4520:
4471:
3614:
3176:
2809:Wallach W, Allen C (November 2008).
2521:
2146:Do Androids Dream of Electric Sheep?
1747:Computing Community Consortium (CCC)
10066:Elements of the Philosophy of Right
8897:Stanford Encyclopedia of Philosophy
8887:Internet Encyclopedia of Philosophy
8718:Jerreat-Poole A (1 February 2020).
8559:Bassett C, Steinmueller E, Voss G.
8140:
7492:. European Commission. 2019-04-08.
6440:Etzioni A, Etzioni O (2017-12-01).
6011:
4663:
4403:10.18653/v1/2023.findings-emnlp.696
3189:from the original on 9 January 2019
2505:Stanford Encyclopedia of Philosophy
2270:Future visions in fiction and games
2089:Impact on technological development
1691:Trustworthy Artificial Intelligence
1672:to ensure AI is ethically applied.
978:explainable artificial intelligence
13:
10610:Statement on AI risk of extinction
8971:A short history of computer ethics
8699:from the original on 18 March 2021
8549:, Popular Science, August 18, 2009
8334:
8310:, in Zalta EN, Nodelman U (eds.),
7999:from the original on 18 March 2021
7927:from the original on 15 March 2023
7263:10.1093/oso/9780190905033.003.0014
7249:Wallach W, Vallor S (2020-09-17),
7065:Umbrello S, Baum SD (2018-06-01).
5637:from the original on 3 August 2019
5540:"Robots could demand legal rights"
4933:Li F, Ruijs N, Lu Y (2022-12-31).
4533:from the original on Jan 13, 2024.
4510:from the original on Dec 29, 2023.
4461:from the original on Jan 10, 2024.
3791:1854/LU-01GMNH04RGNVWJ730BJJXGCY99
3644:
3116:
3017:Floridi L, Cowls J (2 July 2019).
2076:Artificial intelligence in fiction
2024:. At the insistence of his editor
1497:active in this space, such as the
1086:Generative artificial intelligence
36:
14:
11586:
11341:Sociology of scientific knowledge
11336:Sociology of scientific ignorance
11289:History and philosophy of science
10347:Ethics of artificial intelligence
8882:Ethics of Artificial Intelligence
8875:
8837:Cave S, Dihal K (6 August 2020).
8488:Journal of Information Technology
8440:from the original on 1 April 2018
7396:Fiegerman S (28 September 2016).
7255:Ethics of Artificial Intelligence
6922:from the original on 17 July 2024
6676:Ethics and Information Technology
6354:"Regulations for driverless cars"
6142:from the original on 26 July 2019
5477:from the original on 14 July 2018
5038:
4718:from the original on 26 July 2023
4486:from the original on Jan 5, 2024.
3529:"AI and bias β IBM Research β US"
3468:
1975:R.U.R β Rossum's Universal Robots
1470:and MIT professor of linguistics
1209:explosion of artificial suffering
1079:
990:
824:
483:
11570:Ethics of science and technology
11538:
11526:
10666:
10665:
10357:Friendly artificial intelligence
10247:
10246:
8830:
8783:
8754:
8711:
8664:
8635:
8622:
8609:
8579:
8533:
8475:
8452:
8328:
8299:
8250:
8212:
8134:
8105:
8082:Communications PK (2019-01-25).
8075:
8046:
8011:
7964:
7939:
7909:
7852:
7823:
7802:
7776:
7751:
7726:
7697:
7668:
7639:
7602:
7573:
7557:
7532:
7507:
7478:
7420:
7389:
7332:
7302:Big Data and Cognitive Computing
7289:
7242:
7184:
7146:
7126:
7058:
7033:
6860:
6830:
6768:
6740:
6710:
6667:
6601:
6582:
6559:
6540:
6499:
6487:Call for debate on killer robots
6480:
6433:
6404:
6375:
6346:
6297:
6242:
6212:
6183:
6154:
6120:
6108:from the original on 7 July 2019
6089:
6030:
5440:10.5209/rev_TK.2015.v12.n2.49072
4793:from the original on May 9, 2019
4556:from the original on 8 July 2024
4027:Informatics in Medicine Unlocked
1387:
1302:A therapist (as was proposed by
1107:Clinical decision support system
799:
439:lethal autonomous weapon systems
9029:Sheludko, M. (December, 2023).
8820:from the original on 2021-03-18
8772:from the original on 2021-12-09
8653:from the original on 2021-12-21
8598:from the original on 2021-04-22
8567:from the original on 3 May 2024
8522:from the original on 2024-02-21
8432:
8406:Artificial Intelligence and Law
8355:from the original on 2024-09-25
8318:from the original on 2022-03-08
8239:from the original on 2021-12-21
8153:from the original on 2022-03-26
8123:from the original on 2024-09-25
8094:from the original on 2024-09-25
8064:from the original on 2020-12-10
7953:from the original on 2020-09-18
7841:from the original on 2020-11-20
7765:from the original on 2021-09-20
7740:from the original on 2019-05-14
7715:from the original on 2021-03-18
7686:from the original on 2020-11-25
7657:from the original on 2021-02-25
7628:from the original on 2021-01-22
7591:from the original on 2024-09-25
7546:from the original on 2021-03-08
7521:from the original on 2021-03-06
7496:from the original on 2020-02-20
7467:from the original on 2024-09-25
7279:from the original on 2020-12-08
7231:from the original on 2021-03-18
7115:from the original on 2019-05-09
6849:from the original on 2015-07-28
6819:from the original on 2017-04-11
6786:from the original on 2017-12-11
6729:from the original on 2019-07-26
6656:from the original on 2021-01-05
6422:from the original on 2019-07-26
6364:from the original on 2019-07-26
6287:from the original on 2021-03-18
6231:from the original on 2019-05-29
6201:from the original on 2019-07-26
6172:from the original on 2019-07-26
5970:Computer Power and Human Reason
5929:
5907:
5896:from the original on 2024-08-11
5854:
5830:
5784:
5737:
5682:
5649:
5618:
5607:from the original on 2017-10-27
5593:
5532:
5489:
5447:
5411:
5352:
5313:from the original on 2023-03-15
5256:
5245:from the original on 2019-08-09
5227:
5186:
5175:from the original on 2020-02-26
5156:
5145:from the original on 2019-08-01
5126:
5115:from the original on 2019-07-22
5097:
5086:from the original on 2019-07-26
5068:
5057:from the original on 2019-01-10
5039:Bastin R, Wantz G (June 2017).
5021:from the original on 2023-10-01
4997:
4986:from the original on 2019-08-14
4967:
4926:
4879:
4860:
4849:from the original on 2023-03-17
4830:
4805:
4731:
4657:
4646:from the original on 2024-01-05
4628:
4617:from the original on 2024-09-25
4598:
4537:
4514:
4490:
4465:
4442:
4421:
4410:from the original on 2024-04-24
4371:
4332:
4275:
4230:
4195:
4130:
4071:
4014:
3973:
3963:from the original on 2024-09-25
3912:from the original on 2024-09-25
3855:
3818:
3797:
3693:
3682:from the original on 2020-10-31
3668:
3657:from the original on 2019-07-04
3638:
3627:from the original on 2022-02-18
3608:
3583:
3550:
3539:from the original on 2019-07-17
3521:
3510:from the original on 2019-08-10
3492:
3481:from the original on 2019-07-26
3462:
3451:from the original on 2024-09-25
3412:
3401:from the original on 2019-07-25
3383:
3342:
3331:from the original on 2019-05-27
3313:
3302:from the original on 2024-09-25
3263:
3201:
3170:
3159:from the original on 2019-07-22
3140:
3129:from the original on 2019-07-04
3110:
3099:from the original on 2021-03-18
3081:
3070:from the original on 2019-07-22
3051:
3010:
2948:from the original on 2021-04-12
2929:
2893:from the original on 2014-12-25
2867:from the original on 2016-03-04
2831:
2791:from the original on 2024-09-25
2772:
2761:from the original on 2024-09-25
2731:from the original on 2017-03-05
2723:Al-Rodhan N (7 December 2015).
2406:Artificial general intelligence
1477:Physicist and Astronomer Royal
1349:Liability for self-driving cars
1264:Computer Power and Human Reason
1112:
966:
949:artificial general intelligence
833:
597:
57:Artificial general intelligence
10730:Analyticβsynthetic distinction
10418:Center for Applied Rationality
10034:The Theory of Moral Sentiments
9404:Value monism β Value pluralism
8436:. UK's EPSRC. September 2010.
8276:10.3998/ergo.12405314.0001.003
7345:Science and Engineering Ethics
6747:Dominguez G (23 August 2022).
5569:Henderson M (April 24, 2007).
4449:Hammond G (27 December 2023).
2742:
2716:
2641:
2367:"Cosmist" and "Terran" debates
1882:Technical University of Munich
1519:
1242:According to Carl Shulman and
886:
812:
716:, problems can arise from the
1:
8182:(7735): 161β162. 2018-12-12.
7083:10.1016/j.futures.2018.04.007
6837:Cat Zakrzewski (2015-07-27).
6251:"Who Killed Elaine Herzberg?"
6096:Davies A (29 February 2016).
5936:Fisher R (13 November 2020).
5625:Vincent J (30 October 2017).
5515:10.1080/13600834.2023.2196827
4364:10.18653/v1/2023.acl-long.656
3444:10.18653/v1/2023.acl-long.734
2779:Anadiotis G (April 4, 2022).
2427:Ethics of uncertain sentience
1680:Intergovernmental initiatives
1233:ethics of uncertain sentience
1201:integrated information theory
1189:
1152:In October 2017, the android
1030:
16:Ethical issues specific to AI
10438:Future of Humanity Institute
10098:On the Genealogy of Morality
10058:Critique of Practical Reason
9033:. Software Development Blog.
8804:10.1007/978-1-4020-6591-0_14
8790:Cerqui D, Warwick K (2008),
7651:trumpwhitehouse.archives.gov
7540:"OECD AI Policy Observatory"
7191:Yampolskiy RV (2020-03-01).
6051:10.1016/j.bushor.2018.08.004
4780:
4694:10.1109/IEEESTD.2022.9726144
2499:MΓΌller VC (April 30, 2020).
2225:
1850:in Berlin was co-founded by
1829:Future of Humanity Institute
1670:non-government organizations
1658:Ethics of Autonomous Systems
1568:artificial superintelligence
1503:Future of Humanity Institute
1023:. This includes potentially
578:) are more transparent than
467:artificial superintelligence
7:
11063:Hypothetico-deductive model
11038:Deductive-nomological model
11023:Constructivist epistemology
10655:Artificial Intelligence Act
10649:Do You Trust This Computer?
8985:Hagendorff T (March 2020).
8843:Philosophy & Technology
8482:Aleksander I (March 2017).
8399:
8341:. Oxford University Press.
8221:"The 2020 Good Tech Awards"
6263:10.1007/978-3-030-32320-2_1
6221:"Driverless Cars Gone Wild"
6130:, Wong JC (19 March 2018).
5689:Macrae C (September 2022).
5656:Wilks, Yorick, ed. (2010).
4980:MIT Sloan Management Review
4664:Yao D (February 21, 2024).
4521:Fung B (19 December 2023).
3147:Villasenor J (2019-01-03).
3023:Harvard Data Science Review
2383:
1766:is running for election in
1695:Artificial Intelligence Act
1156:was granted citizenship in
1069:Artificial Intelligence Act
714:natural language processing
92:Natural language processing
10:
11591:
10026:A Treatise of Human Nature
9085:
9014:10.1007/s11023-020-09517-8
8856:10.1007/s13347-020-00415-6
8285:2027/spo.12405314.0001.003
8189:10.1038/d41586-018-07718-x
7357:10.1007/s11948-020-00213-5
7132:Yudkowsky, Eliezer. 2011.
6969:Markoff J (25 July 2009).
6626:10.1007/s00146-019-00879-x
6331:10.1038/d41586-018-07135-0
5281:10.1007/s43681-022-00163-7
5135:"The European AI Alliance"
4892:Records Management Journal
4752:10.1108/IJOES-05-2023-0107
4682:
4475:"The Future of AI Is GOMA"
4472:Wong M (24 October 2023).
3840:10.1007/s00146-023-01783-1
3351:"Bias in computer systems"
3177:Lohr S (9 February 2018).
2693:10.1109/JPROC.2019.2900622
2555:Cambridge University Press
2304:Emergency Medical Hologram
2253:(2020) and British series
2073:
2070:Role and impact of fiction
1934:
1919:Algorithmic Justice League
1791:Higher School of Economics
1523:
1391:
1355:Self-driving car liability
1352:
1277:interactive voice response
1261:
1034:
920:IEEE Standards Association
663:
601:
487:
455:technological unemployment
145:Hybrid intelligent systems
67:Recursive self-improvement
11517:
11349:
11251:
11181:
11124:Semantic view of theories
11043:Epistemological anarchism
10995:
10980:dependent and independent
10717:
10663:
10602:
10481:
10408:Alignment Research Center
10400:
10392:Technological singularity
10342:Effective accelerationism
10304:
10242:
10149:
9994:
9760:
9485:
9414:
9276:
9151:
9093:
8619:, Vintage, London, p. 334
8500:10.1057/s41265-016-0032-4
8461:"Why We Need Friendly AI"
8459:Yudkowsky E (July 2004).
8419:10.1007/s10506-017-9214-9
8308:"Artificial Intelligence"
7877:10.1007/s11023-018-9482-5
7209:10.1142/S2705078520500034
7162:. United States: Viking.
6688:10.1007/s10676-012-9301-2
6458:10.1007/s10892-017-9252-2
6304:Maxmen A (October 2018).
6255:Whoβs Driving Innovation?
5815:10.1142/S270507852150003X
5770:10.1142/S2705078520300030
5471:10.20534/EJLPS-17-1-17-21
5378:10.1136/bmjqs-2018-008370
4974:Howard A (29 July 2019).
4781:Thurm S (July 13, 2018).
4300:10.1136/bmjgh-2022-010435
4097:10.1038/s41746-020-0288-5
4039:10.1016/j.imu.2020.100378
3880:10.1136/bmjgh-2022-010435
3761:Communications of the ACM
3719:10.1609/aaai.v37i13.26798
3036:10.1162/99608f92.8cd550d1
2996:10.1038/s42256-019-0088-2
2915:. Scuola di Robotica: 2.
2109:in the 1942 short story "
1837:Oxford Internet Institute
1580:humans enhance themselves
1534:Technological singularity
1494:Open Philanthropy Project
1436:robot takeover of mankind
1359:As the widespread use of
760:facial recognition system
709:AI hiring and recruitment
465:(AI welfare and rights),
419:automated decision-making
10866:Intertheoretic reduction
10855:Ignoramus et ignorabimus
10832:Functional contextualism
10443:Future of Life Institute
10362:Instrumental convergence
9377:Universal prescriptivism
8586:Velasco G (2020-05-04).
8434:"Principles of robotics"
8113:"Algorethics AI Library"
7786:ΠΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΡΠ΅ ΠΏΡΠ°Π²ΠΈΠ»Π°
6780:Future of Life Institute
6717:Mitra A (5 April 2018).
5365:BMJ Quality & Safety
5133:Anonymous (2018-06-14).
4904:10.1108/RMJ-08-2019-0038
4837:Vincent J (2023-03-15).
3947:10.5771/9783748942030-41
3391:"Eliminating bias in AI"
3058:Gabriel I (2018-03-14).
2913:EURON Roboethics Atelier
2627:10.1609/aimag.v28i4.2065
2580:IEEE Intelligent Systems
2482:
2401:Artificial consciousness
2280:suggests a future where
1716:Governmental initiatives
1440:autonomous drone weapons
1394:Lethal autonomous weapon
1143:Institute for the Future
1099:Graphics processing unit
1044:University of Queensland
1011:regulation, such as the
843:Dominance by tech giants
707:terminated their use of
269:Artificial consciousness
11351:Philosophers of science
11129:Scientific essentialism
11078:Model-dependent realism
11013:Constructive empiricism
10906:Evidence-based practice
10298:artificial intelligence
9166:Artificial intelligence
8958:Who's Afraid of Robots?
8617:Alan Turing: The Enigma
7614:Harvard Business Review
6027:, pp. 356, 374β376
5923:Rethinking Moral Status
5882:10.51291/2377-7478.1200
5624:
5212:10.1111/1758-5899.12965
4876:- Cliff Kuang interview
4867:Inside The Mind Of A.I.
4258:10.1145/3582269.3615599
4213:10.1145/3614321.3614325
3702:"Can We Trust Fair-AI?"
3238:10.1073/pnas.1915768117
2815:Oxford University Press
2680:Proceedings of the IEEE
2365:, as emphasized in the
2014:society. In the 1950s,
1573:unintended consequences
1258:Threat to human dignity
1237:precautionary principle
1197:global workspace theory
805:"What is liberalism?",
500:Artificial Moral Agents
407:artificial intelligence
140:Evolutionary algorithms
30:Artificial intelligence
11434:Alfred North Whitehead
11424:Charles Sanders Peirce
10367:Intelligence explosion
8766:Coffee or Die Magazine
8219:Roose K (2020-12-30).
8018:Danaher, John (2019).
4812:Piper K (2024-02-02).
4544:Metz C (5 July 2023).
2885:Santos-Lang C (2002).
2749:Sauer M (2022-04-08).
2107:Three Laws of Robotics
2030:Three Laws of Robotics
1554:intelligence explosion
1130:
1127:reverse discrimination
1095:Tensor Processing Unit
686:
41:
11533:Philosophy portal
11284:Hard and soft science
11279:Faith and rationality
11148:Scientific skepticism
10928:Scientific Revolution
10711:Philosophy of science
10322:AI capability control
10090:The Methods of Ethics
9328:Divine command theory
9323:Ideal observer theory
8839:"The Whiteness of AI"
8796:Philosophy and Design
7835:MIT Technology Review
7019:Bostrom, Nick. 2003.
6446:The Journal of Ethics
6387:cyberlaw.stanford.edu
5546:. December 21, 2006.
4886:Bunn J (2020-04-13).
4640:MIT Technology Review
4605:Stewart A, Melton M.
3651:MIT Technology Review
3615:Pery A (2021-10-06).
3368:10.1145/230538.230561
3123:MIT Technology Review
2940:, in Zalta EN (ed.),
2350:Detroit: Become Human
2136:2001: A Space Odyssey
1907:Private organizations
1524:Further information:
1248:subjective experience
1129:in relation to humans
1120:
680:
540:large language models
536:whole-brain emulation
40:
11575:Regulation of robots
11259:Criticism of science
11134:Scientific formalism
11018:Constructive realism
10923:Scientific pluralism
10896:Problem of induction
10413:Center for AI Safety
10207:Political philosophy
8379:. New York: Bantam.
8335:Jr HC (1999-04-29).
8141:Lee J (2020-02-08).
7517:. 19 February 2020.
6941:Brandon Vigliarolo.
4084:npj Digital Medicine
3999:10.1162/daed_e_01897
3576:10.1162/tacl_a_00041
3533:www.research.ibm.com
3095:. 10 December 2016.
2417:Dead internet theory
2277:The Thirteenth Floor
2026:John W. Campbell Jr.
1929:Data for Black Lives
1825:University of Oxford
1818:Academic initiatives
1739:Trump Administration
1288:The Fifth Generation
873:cloud infrastructure
753:treatment. The word
82:General game playing
11326:Rhetoric of science
11264:Descriptive science
11008:Confirmation holism
10901:Scientific evidence
10861:Inductive reasoning
10790:Demarcation problem
10628:Our Final Invention
10177:Evolutionary ethics
10138:Reasons and Persons
10114:A Theory of Justice
9268:Uncertain sentience
9043:Scientific American
8920:2015Natur.521..415.
8615:Hodges, A. (2014),
7315:10.3390/bdcc3010005
7296:Umbrello S (2019).
7156:(October 8, 2019).
6947:www.theregister.com
6904:. Berlin, Germany:
6322:2018Natur.562..469M
6168:. 30 January 2018.
5707:2022RiskA..42.1999M
5603:. 26 October 2017.
4584:Bill Hibbard. 2008
3933:Spindler G (2023),
3229:2020PNAS..117.7684K
2592:10.1109/mis.2006.70
2298:. The short story "
1988:George Bernard Shaw
1687:European Commission
1644:have established a
560:learning algorithms
525:concludes that the
234:Machine translation
150:Systems integration
87:Knowledge reasoning
24:Part of a series on
11545:Science portal
11474:Carl Gustav Hempel
11429:Wilhelm Windelband
11316:Questionable cause
11139:Scientific realism
10960:Underdetermination
10795:Empirical evidence
10785:Creative synthesis
10172:Ethics in religion
10167:Descriptive ethics
10002:Nicomachean Ethics
8991:Minds and Machines
8963:2018-03-22 at the
8545:2009-08-28 at the
8225:The New York Times
7917:"Joanna J. Bryson"
7865:Minds and Machines
7791:2021-12-30 at the
7139:2015-09-29 at the
7040:Bostrom N (2017).
7026:2018-10-08 at the
7006:2015-05-07 at the
6975:The New York Times
6782:. 11 August 2017.
6594:2009-07-28 at the
6552:2009-08-28 at the
6533:2011-06-04 at the
6511:2009-07-28 at the
6492:2009-08-07 at the
6249:Stilgoe J (2020),
5993:Machines Who Think
5715:10.1111/risa.13850
4872:2021-08-10 at the
4591:2024-09-25 at the
4580:2016-03-04 at the
4550:The New York Times
3980:Manyika J (2022).
3183:The New York Times
2968:Jobin A, Ienca M,
2936:MΓΌller VC (2020),
2648:Boyles RJ (2017).
2459:Robotic Governance
2262:Love, Death+Robots
2152:Voight-Kampff Test
2096:Back to Methuselah
2028:, he proposed the
1993:Back to Methuselah
1547:Singularitarianism
1239:is often invoked.
1171:The philosophy of
1131:
1009:digital governance
924:technical standard
851:companies such as
819:gender stereotypes
696:facial recognition
687:
660:Algorithmic biases
655:Current challenges
613:Ethical principles
584:genetic algorithms
411:algorithmic biases
42:
11552:
11551:
11394:
11393:
11306:Normative science
11163:Uniformitarianism
10918:Scientific method
10812:Explanatory power
10677:
10676:
10594:Eliezer Yudkowsky
10569:Stuart J. Russell
10387:Superintelligence
10260:
10259:
10227:Social philosophy
10212:Population ethics
10202:Philosophy of law
10182:History of ethics
9665:Political freedom
9342:Euthyphro dilemma
9133:Suffering-focused
8914:(7553): 415β418.
8813:978-1-4020-6590-3
8684:978-0-19-258604-9
8386:978-0-553-38256-3
8373:Asimov I (2008).
8348:978-0-19-802838-3
8031:978-0-674-24220-3
7984:978-3-319-51165-8
7759:"Non-Human Party"
7445:10.1002/asi.24638
7272:978-0-19-090503-3
7169:978-0-525-55861-3
7051:978-0-19-967811-2
6915:978-1-916682-42-9
6874:. August 11, 2015
6872:Open Philanthropy
6316:(7728): 469β470.
6272:978-3-030-32319-6
6195:Knowledge@Wharton
6039:Business Horizons
6021:Joseph Weizenbaum
5980:978-0-7167-0464-5
5794:(February 2021).
5667:978-90-272-4994-4
5496:Doomen J (2023).
5241:. 2 August 2019.
4952:10.3390/ai4010003
4703:978-1-5044-8311-7
4288:BMJ Global Health
4268:979-8-4007-0113-9
4223:979-8-4007-0742-1
4156:10.1002/widm.1356
3956:978-3-7489-4203-0
3868:BMJ Global Health
3504:Google Developers
3288:10.1002/widm.1356
3223:(14): 7684β7689.
2824:978-0-19-537404-9
2564:978-0-521-11235-2
2211:Klara and the Sun
2193:E. T. A. Hoffmann
2041:Eliezer Yudkowsky
1592:Stuart J. Russell
1588:Eliezer Yudkowsky
1530:Superintelligence
1417:autonomous robots
1269:Joseph Weizenbaum
1252:hedonic treadmill
1021:product liability
997:anthropomorphised
959:, OpenAI's chief
691:voice recognition
678:
570:have argued that
568:Eliezer Yudkowsky
519:ethical decisions
471:existential risks
399:
398:
135:Bayesian networks
62:Intelligent agent
11582:
11543:
11542:
11531:
11530:
11529:
11504:Bas van Fraassen
11459:Hans Reichenbach
11439:Bertrand Russell
11356:
11355:
11182:Philosophy of...
10965:Unity of science
10758:Commensurability
10704:
10697:
10690:
10681:
10680:
10669:
10668:
10616:Human Compatible
10589:Roman Yampolskiy
10337:Consequentialism
10294:Existential risk
10287:
10280:
10273:
10264:
10263:
10250:
10249:
10197:Moral psychology
10142:
10134:
10126:
10122:Practical Ethics
10118:
10110:
10106:Principia Ethica
10102:
10094:
10086:
10078:
10070:
10062:
10054:
10046:
10038:
10030:
10022:
10014:
10010:Ethics (Spinoza)
10006:
9645:Moral imperative
9103:Consequentialism
9080:
9073:
9066:
9057:
9056:
9052:
9050:
9049:
9026:
9016:
9006:
8949:
8931:
8869:
8868:
8858:
8834:
8828:
8827:
8826:
8825:
8787:
8781:
8780:
8778:
8777:
8758:
8752:
8751:
8749:
8747:
8715:
8709:
8708:
8706:
8704:
8668:
8662:
8661:
8659:
8658:
8647:Ready Steady Cut
8639:
8633:
8626:
8620:
8613:
8607:
8606:
8604:
8603:
8583:
8577:
8576:
8574:
8572:
8556:
8550:
8537:
8531:
8530:
8528:
8527:
8479:
8473:
8472:
8471:on May 24, 2012.
8467:. Archived from
8456:
8450:
8449:
8447:
8445:
8430:
8424:
8423:
8421:
8397:
8391:
8390:
8370:
8364:
8363:
8361:
8360:
8332:
8326:
8325:
8324:
8323:
8303:
8297:
8296:
8278:
8257:Lodge P (2014).
8254:
8248:
8247:
8245:
8244:
8216:
8210:
8209:
8191:
8168:
8162:
8161:
8159:
8158:
8138:
8132:
8131:
8129:
8128:
8109:
8103:
8102:
8100:
8099:
8079:
8073:
8072:
8070:
8069:
8050:
8044:
8043:
8015:
8009:
8008:
8006:
8004:
7968:
7962:
7961:
7959:
7958:
7943:
7937:
7936:
7934:
7932:
7913:
7907:
7906:
7896:
7856:
7850:
7849:
7847:
7846:
7827:
7821:
7820:
7818:
7806:
7800:
7784:
7780:
7774:
7773:
7771:
7770:
7755:
7749:
7748:
7746:
7745:
7730:
7724:
7723:
7721:
7720:
7701:
7695:
7694:
7692:
7691:
7680:Federal Register
7672:
7666:
7665:
7663:
7662:
7643:
7637:
7636:
7634:
7633:
7606:
7600:
7599:
7597:
7596:
7577:
7571:
7570:
7561:
7555:
7554:
7552:
7551:
7536:
7530:
7529:
7527:
7526:
7511:
7505:
7504:
7502:
7501:
7482:
7476:
7475:
7473:
7472:
7424:
7418:
7417:
7415:
7413:
7393:
7387:
7386:
7376:
7351:(3): 1771β1796.
7336:
7330:
7329:
7327:
7317:
7293:
7287:
7286:
7285:
7284:
7246:
7240:
7239:
7237:
7236:
7188:
7182:
7181:
7150:
7144:
7130:
7124:
7123:
7121:
7120:
7094:
7062:
7056:
7055:
7037:
7031:
7017:
7011:
6997:
6991:
6990:
6988:
6986:
6966:
6957:
6956:
6954:
6953:
6938:
6932:
6931:
6929:
6927:
6903:
6892:
6883:
6882:
6880:
6879:
6864:
6858:
6857:
6855:
6854:
6834:
6828:
6827:
6825:
6824:
6804:
6795:
6794:
6792:
6791:
6772:
6766:
6765:
6763:
6761:
6744:
6738:
6737:
6735:
6734:
6714:
6708:
6707:
6671:
6665:
6664:
6662:
6661:
6614:AI & Society
6605:
6599:
6586:
6580:
6579:
6563:
6557:
6544:
6538:
6525:
6516:
6503:
6497:
6484:
6478:
6477:
6437:
6431:
6430:
6428:
6427:
6408:
6402:
6401:
6399:
6398:
6389:. Archived from
6379:
6373:
6372:
6370:
6369:
6350:
6344:
6343:
6333:
6301:
6295:
6294:
6293:
6292:
6246:
6240:
6239:
6237:
6236:
6216:
6210:
6209:
6207:
6206:
6187:
6181:
6180:
6178:
6177:
6158:
6152:
6151:
6149:
6147:
6124:
6118:
6117:
6115:
6113:
6093:
6087:
6086:
6084:
6072:
6063:
6062:
6034:
6028:
6018:
6009:
6005:
5984:
5959:
5950:
5949:
5947:
5945:
5933:
5927:
5926:
5920:
5911:
5905:
5904:
5902:
5901:
5870:Animal Sentience
5858:
5852:
5851:
5849:
5834:
5828:
5827:
5817:
5792:Thomas Metzinger
5788:
5782:
5781:
5763:
5741:
5735:
5734:
5701:(9): 1999β2025.
5686:
5680:
5679:
5653:
5647:
5646:
5644:
5642:
5622:
5616:
5615:
5613:
5612:
5597:
5591:
5590:
5588:
5586:
5575:The Times Online
5566:
5560:
5559:
5557:
5555:
5536:
5530:
5529:
5527:
5517:
5493:
5487:
5486:
5484:
5482:
5451:
5445:
5444:
5442:
5415:
5409:
5408:
5398:
5380:
5356:
5350:
5349:
5347:
5346:
5331:
5322:
5321:
5319:
5318:
5300:
5260:
5254:
5253:
5251:
5250:
5231:
5225:
5224:
5214:
5190:
5184:
5183:
5181:
5180:
5160:
5154:
5153:
5151:
5150:
5130:
5124:
5123:
5121:
5120:
5101:
5095:
5094:
5092:
5091:
5072:
5066:
5065:
5063:
5062:
5056:
5045:
5036:
5030:
5029:
5027:
5026:
5020:
5009:
5001:
4995:
4994:
4992:
4991:
4971:
4965:
4964:
4954:
4930:
4924:
4923:
4883:
4877:
4864:
4858:
4857:
4855:
4854:
4834:
4828:
4827:
4825:
4824:
4809:
4803:
4802:
4800:
4798:
4778:
4772:
4771:
4735:
4729:
4727:
4725:
4723:
4680:
4674:
4673:
4661:
4655:
4654:
4652:
4651:
4632:
4626:
4625:
4623:
4622:
4611:Business Insider
4602:
4596:
4572:
4566:
4565:
4563:
4561:
4541:
4535:
4534:
4518:
4512:
4511:
4506:. Mar 26, 2023.
4501:
4494:
4488:
4487:
4477:
4469:
4463:
4462:
4446:
4440:
4439:
4437:
4425:
4419:
4418:
4416:
4415:
4405:
4395:
4375:
4369:
4368:
4366:
4356:
4336:
4330:
4329:
4319:
4279:
4273:
4272:
4260:
4250:
4234:
4228:
4227:
4215:
4199:
4193:
4192:
4190:
4178:
4169:
4168:
4158:
4134:
4128:
4127:
4117:
4099:
4075:
4069:
4068:
4058:
4018:
4012:
4011:
4001:
3977:
3971:
3970:
3969:
3968:
3939:Liability for AI
3930:
3921:
3920:
3918:
3917:
3899:
3859:
3853:
3852:
3842:
3831:AI & Society
3822:
3816:
3815:
3813:
3801:
3795:
3794:
3776:
3756:
3750:
3749:
3731:
3721:
3697:
3691:
3690:
3688:
3687:
3672:
3666:
3665:
3663:
3662:
3642:
3636:
3635:
3633:
3632:
3612:
3606:
3605:
3603:
3587:
3581:
3580:
3578:
3554:
3548:
3547:
3545:
3544:
3525:
3519:
3518:
3516:
3515:
3496:
3490:
3489:
3487:
3486:
3466:
3460:
3459:
3457:
3456:
3446:
3436:
3416:
3410:
3409:
3407:
3406:
3387:
3381:
3380:
3370:
3346:
3340:
3339:
3337:
3336:
3317:
3311:
3310:
3308:
3307:
3267:
3261:
3260:
3250:
3240:
3205:
3199:
3198:
3196:
3194:
3174:
3168:
3167:
3165:
3164:
3144:
3138:
3137:
3135:
3134:
3114:
3108:
3107:
3105:
3104:
3085:
3079:
3078:
3076:
3075:
3055:
3049:
3048:
3038:
3014:
3008:
3007:
2989:
2965:
2956:
2955:
2954:
2953:
2933:
2927:
2926:
2924:
2908:
2902:
2901:
2899:
2898:
2882:
2876:
2875:
2873:
2872:
2866:
2851:
2835:
2829:
2828:
2806:
2800:
2799:
2797:
2796:
2776:
2770:
2769:
2767:
2766:
2746:
2740:
2739:
2737:
2736:
2725:"The Moral Code"
2720:
2714:
2713:
2695:
2671:
2662:
2661:
2645:
2639:
2638:
2610:
2604:
2603:
2575:
2569:
2568:
2546:
2540:
2539:
2537:
2535:
2524:"Machine Ethics"
2519:
2513:
2512:
2496:
2438:Human Compatible
2319:Bicentennial Man
2309:Starship Voyager
2282:simulated worlds
2201:Machines Like Me
2121:Arthur C. Clarke
1892:Barbara J. Grosz
1859:AI Now Institute
1600:Roman Yampolskiy
1425:consequentialist
1332:computationalism
1319:Pamela McCorduck
1299:A police officer
1284:Pamela McCorduck
1205:Thomas Metzinger
922:has published a
679:
666:Algorithmic bias
588:machine learning
556:normative theory
391:
384:
377:
298:Existential risk
120:Machine learning
21:
20:
11590:
11589:
11585:
11584:
11583:
11581:
11580:
11579:
11555:
11554:
11553:
11548:
11537:
11527:
11525:
11513:
11494:Paul Feyerabend
11454:Michael Polanyi
11390:
11376:Galileo Galilei
11345:
11331:Science studies
11247:
11177:
11168:Verificationism
11073:Instrumentalism
11058:Foundationalism
11033:Conventionalism
10991:
10827:Feminist method
10713:
10708:
10678:
10673:
10659:
10598:
10554:Steve Omohundro
10534:Geoffrey Hinton
10524:Stephen Hawking
10509:Paul Christiano
10489:Scott Alexander
10477:
10448:Google DeepMind
10396:
10382:Suffering risks
10300:
10291:
10261:
10256:
10238:
10145:
10140:
10132:
10124:
10116:
10108:
10100:
10092:
10084:
10076:
10068:
10060:
10052:
10044:
10036:
10028:
10020:
10012:
10004:
9990:
9763:
9756:
9680:Self-discipline
9640:Moral hierarchy
9588:Problem of evil
9533:Double standard
9523:Culture of life
9481:
9410:
9357:Non-cognitivism
9272:
9147:
9089:
9084:
9047:
9045:
8965:Wayback Machine
8929:10.1038/521415a
8878:
8873:
8872:
8835:
8831:
8823:
8821:
8814:
8788:
8784:
8775:
8773:
8760:
8759:
8755:
8745:
8743:
8716:
8712:
8702:
8700:
8685:
8669:
8665:
8656:
8654:
8641:
8640:
8636:
8627:
8623:
8614:
8610:
8601:
8599:
8584:
8580:
8570:
8568:
8557:
8553:
8547:Wayback Machine
8538:
8534:
8525:
8523:
8480:
8476:
8457:
8453:
8443:
8441:
8431:
8427:
8398:
8394:
8387:
8371:
8367:
8358:
8356:
8349:
8333:
8329:
8321:
8319:
8304:
8300:
8255:
8251:
8242:
8240:
8217:
8213:
8170:
8169:
8165:
8156:
8154:
8139:
8135:
8126:
8124:
8111:
8110:
8106:
8097:
8095:
8088:Harvard Gazette
8080:
8076:
8067:
8065:
8052:
8051:
8047:
8032:
8016:
8012:
8002:
8000:
7985:
7969:
7965:
7956:
7954:
7945:
7944:
7940:
7930:
7928:
7915:
7914:
7910:
7857:
7853:
7844:
7842:
7829:
7828:
7824:
7807:
7803:
7793:Wayback Machine
7782:
7781:
7777:
7768:
7766:
7757:
7756:
7752:
7743:
7741:
7736:. 13 May 2019.
7732:
7731:
7727:
7718:
7716:
7703:
7702:
7698:
7689:
7687:
7674:
7673:
7669:
7660:
7658:
7645:
7644:
7640:
7631:
7629:
7608:
7607:
7603:
7594:
7592:
7579:
7578:
7574:
7569:. UNESCO. 2021.
7563:
7562:
7558:
7549:
7547:
7538:
7537:
7533:
7524:
7522:
7513:
7512:
7508:
7499:
7497:
7484:
7483:
7479:
7470:
7468:
7425:
7421:
7411:
7409:
7394:
7390:
7337:
7333:
7294:
7290:
7282:
7280:
7273:
7247:
7243:
7234:
7232:
7189:
7185:
7170:
7151:
7147:
7141:Wayback Machine
7131:
7127:
7118:
7116:
7063:
7059:
7052:
7038:
7034:
7028:Wayback Machine
7018:
7014:
7008:Wayback Machine
6998:
6994:
6984:
6982:
6967:
6960:
6951:
6949:
6939:
6935:
6925:
6923:
6916:
6901:
6893:
6886:
6877:
6875:
6866:
6865:
6861:
6852:
6850:
6835:
6831:
6822:
6820:
6805:
6798:
6789:
6787:
6776:"AI Principles"
6774:
6773:
6769:
6759:
6757:
6754:The Japan Times
6745:
6741:
6732:
6730:
6715:
6711:
6672:
6668:
6659:
6657:
6606:
6602:
6596:Wayback Machine
6587:
6583:
6564:
6560:
6554:Wayback Machine
6545:
6541:
6535:Wayback Machine
6526:
6519:
6513:Wayback Machine
6504:
6500:
6494:Wayback Machine
6485:
6481:
6438:
6434:
6425:
6423:
6410:
6409:
6405:
6396:
6394:
6381:
6380:
6376:
6367:
6365:
6352:
6351:
6347:
6302:
6298:
6290:
6288:
6273:
6247:
6243:
6234:
6232:
6217:
6213:
6204:
6202:
6189:
6188:
6184:
6175:
6173:
6160:
6159:
6155:
6145:
6143:
6125:
6121:
6111:
6109:
6094:
6090:
6073:
6066:
6035:
6031:
6019:
6012:
6003:
5981:
5963:
5960:
5953:
5943:
5941:
5934:
5930:
5918:
5912:
5908:
5899:
5897:
5859:
5855:
5835:
5831:
5789:
5785:
5742:
5738:
5687:
5683:
5668:
5654:
5650:
5640:
5638:
5623:
5619:
5610:
5608:
5599:
5598:
5594:
5584:
5582:
5581:on May 17, 2008
5567:
5563:
5553:
5551:
5538:
5537:
5533:
5494:
5490:
5480:
5478:
5452:
5448:
5416:
5412:
5357:
5353:
5344:
5342:
5339:Financial Times
5333:
5332:
5325:
5316:
5314:
5261:
5257:
5248:
5246:
5233:
5232:
5228:
5191:
5187:
5178:
5176:
5161:
5157:
5148:
5146:
5131:
5127:
5118:
5116:
5103:
5102:
5098:
5089:
5087:
5074:
5073:
5069:
5060:
5058:
5054:
5048:Inside magazine
5043:
5037:
5033:
5024:
5022:
5018:
5007:
5003:
5002:
4998:
4989:
4987:
4972:
4968:
4931:
4927:
4884:
4880:
4874:Wayback Machine
4865:
4861:
4852:
4850:
4835:
4831:
4822:
4820:
4810:
4806:
4796:
4794:
4779:
4775:
4736:
4732:
4721:
4719:
4704:
4681:
4677:
4662:
4658:
4649:
4647:
4634:
4633:
4629:
4620:
4618:
4603:
4599:
4593:Wayback Machine
4582:Wayback Machine
4575:Open Source AI.
4573:
4569:
4559:
4557:
4542:
4538:
4519:
4515:
4496:
4495:
4491:
4470:
4466:
4447:
4443:
4426:
4422:
4413:
4411:
4376:
4372:
4337:
4333:
4280:
4276:
4269:
4235:
4231:
4224:
4200:
4196:
4179:
4172:
4135:
4131:
4076:
4072:
4019:
4015:
3978:
3974:
3966:
3964:
3957:
3931:
3924:
3915:
3913:
3860:
3856:
3823:
3819:
3802:
3798:
3783:10.1145/3624700
3757:
3753:
3698:
3694:
3685:
3683:
3674:
3673:
3669:
3660:
3658:
3643:
3639:
3630:
3628:
3613:
3609:
3588:
3584:
3555:
3551:
3542:
3540:
3527:
3526:
3522:
3513:
3511:
3498:
3497:
3493:
3484:
3482:
3467:
3463:
3454:
3452:
3417:
3413:
3404:
3402:
3389:
3388:
3384:
3347:
3343:
3334:
3332:
3319:
3318:
3314:
3305:
3303:
3268:
3264:
3206:
3202:
3192:
3190:
3175:
3171:
3162:
3160:
3145:
3141:
3132:
3130:
3115:
3111:
3102:
3100:
3087:
3086:
3082:
3073:
3071:
3056:
3052:
3015:
3011:
2966:
2959:
2951:
2949:
2934:
2930:
2922:10.1.1.466.2810
2909:
2905:
2896:
2894:
2883:
2879:
2870:
2868:
2864:
2858:Cambridge Press
2849:
2836:
2832:
2825:
2807:
2803:
2794:
2792:
2777:
2773:
2764:
2762:
2747:
2743:
2734:
2732:
2721:
2717:
2672:
2665:
2646:
2642:
2611:
2607:
2576:
2572:
2565:
2547:
2543:
2533:
2531:
2520:
2516:
2497:
2490:
2485:
2480:
2476:Suffering risks
2464:Roko's basilisk
2412:Computer ethics
2386:
2300:The Planck Dive
2272:
2228:
2131:Stanley Kubrick
2091:
2078:
2072:
1937:
1909:
1886:Christoph LΓΌtge
1866:infrastructure.
1841:Luciano Floridi
1820:
1799:ITMO University
1768:New South Wales
1764:Non-Human Party
1718:
1682:
1664:Traditionally,
1620:
1612:Luciano Floridi
1608:Steven Umbrello
1543:the Singularity
1536:
1522:
1501:(MIRI) and the
1479:Sir Martin Rees
1444:Stephen Hawking
1413:military robots
1396:
1390:
1369:Elaine Herzberg
1361:autonomous cars
1357:
1351:
1266:
1260:
1192:
1115:
1082:
1077:
1039:
1033:
993:
973:neural networks
969:
939:or to automate
889:
845:
836:
827:
815:
802:
768:data scientists
670:
668:
662:
657:
641:non-maleficence
629:Luciano Floridi
615:
606:
600:
580:neural networks
552:Wendell Wallach
508:rational agency
496:
488:Main articles:
486:
395:
366:
365:
356:
348:
347:
323:
313:
312:
284:Control problem
264:
254:
253:
165:
155:
154:
115:
107:
106:
77:Computer vision
52:
17:
12:
11:
5:
11588:
11578:
11577:
11572:
11567:
11550:
11549:
11547:
11535:
11523:
11518:
11515:
11514:
11512:
11511:
11506:
11501:
11496:
11491:
11486:
11481:
11479:W. V. O. Quine
11476:
11471:
11466:
11461:
11456:
11451:
11446:
11441:
11436:
11431:
11426:
11421:
11416:
11414:Rudolf Steiner
11411:
11406:
11404:Henri PoincarΓ©
11401:
11395:
11392:
11391:
11389:
11388:
11383:
11378:
11373:
11368:
11362:
11360:
11353:
11347:
11346:
11344:
11343:
11338:
11333:
11328:
11323:
11318:
11313:
11308:
11303:
11302:
11301:
11291:
11286:
11281:
11276:
11274:Exact sciences
11271:
11266:
11261:
11255:
11253:
11252:Related topics
11249:
11248:
11246:
11245:
11244:
11243:
11238:
11233:
11228:
11223:
11218:
11211:Social science
11208:
11207:
11206:
11204:Space and time
11196:
11191:
11185:
11183:
11179:
11178:
11176:
11175:
11170:
11165:
11160:
11155:
11150:
11145:
11136:
11131:
11126:
11117:
11108:
11103:
11090:
11085:
11080:
11075:
11070:
11065:
11060:
11055:
11050:
11045:
11040:
11035:
11030:
11025:
11020:
11015:
11010:
11005:
10999:
10997:
10993:
10992:
10990:
10989:
10984:
10983:
10982:
10977:
10967:
10962:
10957:
10956:
10955:
10950:
10945:
10935:
10930:
10925:
10920:
10915:
10913:Scientific law
10910:
10909:
10908:
10898:
10893:
10888:
10883:
10878:
10873:
10868:
10863:
10858:
10851:
10850:
10849:
10844:
10834:
10829:
10824:
10822:Falsifiability
10819:
10814:
10809:
10808:
10807:
10797:
10792:
10787:
10782:
10781:
10780:
10770:
10765:
10760:
10755:
10754:
10753:
10751:Mill's Methods
10743:
10732:
10727:
10721:
10719:
10715:
10714:
10707:
10706:
10699:
10692:
10684:
10675:
10674:
10664:
10661:
10660:
10658:
10657:
10652:
10645:
10638:
10631:
10624:
10619:
10612:
10606:
10604:
10600:
10599:
10597:
10596:
10591:
10586:
10581:
10576:
10571:
10566:
10561:
10556:
10551:
10546:
10541:
10536:
10531:
10526:
10521:
10516:
10511:
10506:
10501:
10496:
10491:
10485:
10483:
10479:
10478:
10476:
10475:
10470:
10465:
10460:
10455:
10450:
10445:
10440:
10435:
10430:
10425:
10420:
10415:
10410:
10404:
10402:
10398:
10397:
10395:
10394:
10389:
10384:
10379:
10377:Machine ethics
10374:
10369:
10364:
10359:
10354:
10349:
10344:
10339:
10334:
10329:
10324:
10319:
10314:
10308:
10306:
10302:
10301:
10290:
10289:
10282:
10275:
10267:
10258:
10257:
10255:
10254:
10243:
10240:
10239:
10237:
10236:
10229:
10224:
10222:Secular ethics
10219:
10217:Rehabilitation
10214:
10209:
10204:
10199:
10194:
10189:
10184:
10179:
10174:
10169:
10164:
10159:
10153:
10151:
10147:
10146:
10144:
10143:
10135:
10127:
10119:
10111:
10103:
10095:
10087:
10082:Utilitarianism
10079:
10071:
10063:
10055:
10047:
10039:
10031:
10023:
10015:
10007:
9998:
9996:
9992:
9991:
9989:
9988:
9983:
9978:
9973:
9968:
9963:
9958:
9953:
9948:
9943:
9938:
9933:
9928:
9923:
9918:
9913:
9908:
9903:
9898:
9893:
9888:
9883:
9878:
9873:
9868:
9863:
9858:
9853:
9848:
9843:
9838:
9833:
9828:
9823:
9818:
9813:
9808:
9803:
9798:
9793:
9788:
9783:
9778:
9773:
9767:
9765:
9758:
9757:
9755:
9754:
9749:
9744:
9739:
9734:
9733:
9732:
9727:
9722:
9712:
9707:
9702:
9697:
9692:
9687:
9682:
9677:
9672:
9667:
9662:
9657:
9652:
9647:
9642:
9637:
9632:
9627:
9622:
9617:
9612:
9607:
9602:
9597:
9592:
9591:
9590:
9585:
9580:
9570:
9565:
9560:
9555:
9550:
9545:
9540:
9535:
9530:
9525:
9520:
9515:
9510:
9505:
9500:
9495:
9489:
9487:
9483:
9482:
9480:
9479:
9474:
9469:
9464:
9459:
9454:
9449:
9444:
9442:Existentialist
9439:
9434:
9429:
9424:
9418:
9416:
9412:
9411:
9409:
9408:
9407:
9406:
9396:
9391:
9386:
9381:
9380:
9379:
9374:
9369:
9364:
9354:
9349:
9344:
9339:
9337:Constructivism
9334:
9333:
9332:
9331:
9330:
9325:
9315:
9314:
9313:
9311:Non-naturalism
9308:
9293:
9288:
9282:
9280:
9274:
9273:
9271:
9270:
9265:
9260:
9255:
9250:
9245:
9240:
9235:
9230:
9225:
9220:
9215:
9210:
9205:
9204:
9203:
9193:
9188:
9183:
9178:
9173:
9168:
9163:
9157:
9155:
9149:
9148:
9146:
9145:
9140:
9138:Utilitarianism
9135:
9130:
9125:
9120:
9115:
9110:
9105:
9099:
9097:
9091:
9090:
9083:
9082:
9075:
9068:
9060:
9054:
9053:
9037:Eisikovits N.
9034:
9027:
8982:
8980:Algorithmwatch
8973:
8968:
8955:
8950:
8899:
8890:
8877:
8876:External links
8874:
8871:
8870:
8849:(4): 685β703.
8829:
8812:
8782:
8768:. 2018-08-06.
8753:
8710:
8683:
8663:
8649:. 2021-05-14.
8634:
8621:
8608:
8578:
8551:
8532:
8474:
8451:
8425:
8412:(3): 273β291.
8392:
8385:
8365:
8347:
8327:
8298:
8249:
8211:
8163:
8133:
8104:
8074:
8045:
8030:
8010:
7983:
7963:
7949:. 2017-11-20.
7938:
7908:
7871:(4): 689β707.
7851:
7822:
7801:
7775:
7750:
7725:
7711:. 2019-05-14.
7696:
7682:. 2020-01-13.
7667:
7638:
7616:. 2016-12-21.
7601:
7587:. 2021-11-26.
7585:Helsinki Times
7572:
7556:
7531:
7506:
7477:
7439:(3): 311β322.
7419:
7388:
7331:
7288:
7271:
7241:
7203:(1): 109β118.
7183:
7168:
7145:
7125:
7057:
7050:
7032:
7012:
6992:
6958:
6933:
6914:
6884:
6859:
6829:
6796:
6767:
6739:
6709:
6666:
6620:(1): 273β282.
6600:
6581:
6558:
6539:
6517:
6498:
6479:
6452:(4): 403β418.
6432:
6403:
6374:
6345:
6296:
6271:
6241:
6211:
6182:
6153:
6119:
6088:
6064:
6029:
6025:McCorduck 2004
6010:
6008:
6007:
6006:, pp. 132β144
6001:
5985:
5979:
5951:
5928:
5906:
5864:(2017-01-01).
5853:
5829:
5783:
5736:
5681:
5666:
5648:
5617:
5592:
5561:
5531:
5508:(3): 277β278.
5488:
5455:Sheliazhenko Y
5446:
5410:
5371:(3): 231β237.
5351:
5323:
5275:(1): 145β153.
5255:
5226:
5185:
5155:
5125:
5096:
5082:. 2017-06-07.
5067:
5031:
5014:. March 2021.
4996:
4966:
4925:
4898:(2): 143β153.
4878:
4859:
4829:
4804:
4773:
4730:
4702:
4675:
4656:
4627:
4597:
4567:
4536:
4513:
4489:
4464:
4441:
4420:
4370:
4331:
4294:(5): e010435.
4274:
4267:
4229:
4222:
4194:
4170:
4129:
4070:
4013:
3972:
3955:
3922:
3874:(5): e010435.
3854:
3817:
3796:
3751:
3692:
3667:
3637:
3607:
3582:
3549:
3520:
3491:
3461:
3411:
3395:techxplore.com
3382:
3361:(3): 330β347.
3341:
3327:. 2018-10-10.
3312:
3262:
3200:
3169:
3139:
3109:
3080:
3050:
3009:
2980:(9): 389β399.
2957:
2928:
2903:
2877:
2830:
2823:
2801:
2771:
2741:
2715:
2686:(3): 509β517.
2663:
2640:
2605:
2570:
2563:
2551:Machine Ethics
2541:
2514:
2487:
2486:
2484:
2481:
2479:
2478:
2473:
2466:
2461:
2456:
2451:
2446:
2441:
2434:
2429:
2424:
2419:
2414:
2409:
2403:
2398:
2393:
2387:
2385:
2382:
2343:neural network
2271:
2268:
2227:
2224:
2220:Kazuo Ishiguro
2141:Philip K. Dick
2090:
2087:
2074:Main article:
2071:
2068:
2035:United Kingdom
1936:
1933:
1932:
1931:
1926:
1921:
1916:
1908:
1905:
1904:
1903:
1889:
1880:(IEAI) at the
1874:
1867:
1855:
1844:
1839:, directed by
1833:John Tasioulas
1819:
1816:
1815:
1814:
1771:
1760:
1753:
1743:
1735:
1717:
1714:
1713:
1712:
1705:
1698:
1681:
1678:
1619:
1616:
1604:Shannon Vallor
1562:, philosopher
1521:
1518:
1392:Main article:
1389:
1386:
1353:Main article:
1350:
1347:
1308:
1307:
1300:
1297:
1294:
1291:
1280:
1262:Main article:
1259:
1256:
1225:David Chalmers
1221:Ilya Sutskever
1191:
1188:
1123:delivery robot
1114:
1111:
1081:
1080:Increasing use
1078:
1076:
1073:
1035:Main article:
1032:
1029:
992:
991:Accountability
989:
968:
965:
957:Ilya Sutskever
888:
885:
865:Meta Platforms
844:
841:
835:
832:
826:
825:Political bias
823:
814:
811:
801:
798:
747:pulse oximeter
739:discrimination
735:fairness in AI
726:Process mining
664:Main article:
661:
658:
656:
653:
614:
611:
602:Main article:
599:
596:
572:decision trees
490:Machine ethics
485:
484:Machine ethics
482:
459:misinformation
435:machine ethics
423:accountability
397:
396:
394:
393:
386:
379:
371:
368:
367:
364:
363:
357:
354:
353:
350:
349:
346:
345:
340:
335:
330:
324:
319:
318:
315:
314:
311:
310:
305:
300:
295:
290:
281:
276:
271:
265:
260:
259:
256:
255:
252:
251:
246:
241:
236:
231:
230:
229:
219:
214:
209:
208:
207:
202:
197:
187:
182:
180:Earth sciences
177:
172:
170:Bioinformatics
166:
161:
160:
157:
156:
153:
152:
147:
142:
137:
132:
127:
122:
116:
113:
112:
109:
108:
105:
104:
99:
94:
89:
84:
79:
74:
69:
64:
59:
53:
48:
47:
44:
43:
33:
32:
26:
25:
15:
9:
6:
4:
3:
2:
11587:
11576:
11573:
11571:
11568:
11566:
11563:
11562:
11560:
11546:
11541:
11536:
11534:
11524:
11522:
11519:
11516:
11510:
11507:
11505:
11502:
11500:
11497:
11495:
11492:
11490:
11487:
11485:
11482:
11480:
11477:
11475:
11472:
11470:
11467:
11465:
11464:Rudolf Carnap
11462:
11460:
11457:
11455:
11452:
11450:
11447:
11445:
11442:
11440:
11437:
11435:
11432:
11430:
11427:
11425:
11422:
11420:
11417:
11415:
11412:
11410:
11407:
11405:
11402:
11400:
11399:Auguste Comte
11397:
11396:
11387:
11384:
11382:
11379:
11377:
11374:
11372:
11371:Francis Bacon
11369:
11367:
11364:
11363:
11361:
11357:
11354:
11352:
11348:
11342:
11339:
11337:
11334:
11332:
11329:
11327:
11324:
11322:
11319:
11317:
11314:
11312:
11309:
11307:
11304:
11300:
11299:Pseudoscience
11297:
11296:
11295:
11292:
11290:
11287:
11285:
11282:
11280:
11277:
11275:
11272:
11270:
11267:
11265:
11262:
11260:
11257:
11256:
11254:
11250:
11242:
11239:
11237:
11234:
11232:
11229:
11227:
11224:
11222:
11219:
11217:
11214:
11213:
11212:
11209:
11205:
11202:
11201:
11200:
11197:
11195:
11192:
11190:
11187:
11186:
11184:
11180:
11174:
11171:
11169:
11166:
11164:
11161:
11159:
11158:Structuralism
11156:
11154:
11151:
11149:
11146:
11144:
11140:
11137:
11135:
11132:
11130:
11127:
11125:
11121:
11120:Received view
11118:
11116:
11112:
11109:
11107:
11104:
11102:
11098:
11094:
11091:
11089:
11086:
11084:
11081:
11079:
11076:
11074:
11071:
11069:
11066:
11064:
11061:
11059:
11056:
11054:
11051:
11049:
11046:
11044:
11041:
11039:
11036:
11034:
11031:
11029:
11028:Contextualism
11026:
11024:
11021:
11019:
11016:
11014:
11011:
11009:
11006:
11004:
11001:
11000:
10998:
10994:
10988:
10985:
10981:
10978:
10976:
10973:
10972:
10971:
10968:
10966:
10963:
10961:
10958:
10954:
10951:
10949:
10946:
10944:
10941:
10940:
10939:
10936:
10934:
10931:
10929:
10926:
10924:
10921:
10919:
10916:
10914:
10911:
10907:
10904:
10903:
10902:
10899:
10897:
10894:
10892:
10889:
10887:
10884:
10882:
10879:
10877:
10874:
10872:
10869:
10867:
10864:
10862:
10859:
10857:
10856:
10852:
10848:
10845:
10843:
10840:
10839:
10838:
10835:
10833:
10830:
10828:
10825:
10823:
10820:
10818:
10815:
10813:
10810:
10806:
10803:
10802:
10801:
10798:
10796:
10793:
10791:
10788:
10786:
10783:
10779:
10776:
10775:
10774:
10771:
10769:
10766:
10764:
10761:
10759:
10756:
10752:
10749:
10748:
10747:
10744:
10742:
10741:
10737:
10733:
10731:
10728:
10726:
10723:
10722:
10720:
10716:
10712:
10705:
10700:
10698:
10693:
10691:
10686:
10685:
10682:
10672:
10662:
10656:
10653:
10651:
10650:
10646:
10644:
10643:
10639:
10637:
10636:
10635:The Precipice
10632:
10630:
10629:
10625:
10623:
10620:
10618:
10617:
10613:
10611:
10608:
10607:
10605:
10601:
10595:
10592:
10590:
10587:
10585:
10584:Frank Wilczek
10582:
10580:
10577:
10575:
10572:
10570:
10567:
10565:
10562:
10560:
10557:
10555:
10552:
10550:
10547:
10545:
10542:
10540:
10537:
10535:
10532:
10530:
10529:Dan Hendrycks
10527:
10525:
10522:
10520:
10517:
10515:
10512:
10510:
10507:
10505:
10502:
10500:
10499:Yoshua Bengio
10497:
10495:
10492:
10490:
10487:
10486:
10484:
10480:
10474:
10471:
10469:
10466:
10464:
10461:
10459:
10456:
10454:
10451:
10449:
10446:
10444:
10441:
10439:
10436:
10434:
10431:
10429:
10426:
10424:
10421:
10419:
10416:
10414:
10411:
10409:
10406:
10405:
10403:
10401:Organizations
10399:
10393:
10390:
10388:
10385:
10383:
10380:
10378:
10375:
10373:
10370:
10368:
10365:
10363:
10360:
10358:
10355:
10353:
10350:
10348:
10345:
10343:
10340:
10338:
10335:
10333:
10330:
10328:
10325:
10323:
10320:
10318:
10315:
10313:
10310:
10309:
10307:
10303:
10299:
10295:
10288:
10283:
10281:
10276:
10274:
10269:
10268:
10265:
10253:
10245:
10244:
10241:
10235:
10234:
10230:
10228:
10225:
10223:
10220:
10218:
10215:
10213:
10210:
10208:
10205:
10203:
10200:
10198:
10195:
10193:
10190:
10188:
10185:
10183:
10180:
10178:
10175:
10173:
10170:
10168:
10165:
10163:
10160:
10158:
10155:
10154:
10152:
10148:
10139:
10136:
10131:
10128:
10123:
10120:
10115:
10112:
10107:
10104:
10099:
10096:
10091:
10088:
10083:
10080:
10075:
10072:
10067:
10064:
10059:
10056:
10051:
10048:
10043:
10040:
10035:
10032:
10027:
10024:
10019:
10016:
10011:
10008:
10003:
10000:
9999:
9997:
9993:
9987:
9984:
9982:
9979:
9977:
9974:
9972:
9969:
9967:
9964:
9962:
9959:
9957:
9954:
9952:
9949:
9947:
9944:
9942:
9939:
9937:
9934:
9932:
9929:
9927:
9924:
9922:
9919:
9917:
9914:
9912:
9909:
9907:
9904:
9902:
9899:
9897:
9894:
9892:
9889:
9887:
9884:
9882:
9879:
9877:
9874:
9872:
9869:
9867:
9864:
9862:
9859:
9857:
9854:
9852:
9849:
9847:
9844:
9842:
9839:
9837:
9834:
9832:
9829:
9827:
9824:
9822:
9819:
9817:
9814:
9812:
9809:
9807:
9804:
9802:
9799:
9797:
9794:
9792:
9789:
9787:
9784:
9782:
9779:
9777:
9774:
9772:
9769:
9768:
9766:
9764:
9759:
9753:
9750:
9748:
9745:
9743:
9740:
9738:
9735:
9731:
9728:
9726:
9723:
9721:
9718:
9717:
9716:
9713:
9711:
9708:
9706:
9703:
9701:
9698:
9696:
9693:
9691:
9688:
9686:
9683:
9681:
9678:
9676:
9673:
9671:
9668:
9666:
9663:
9661:
9658:
9656:
9653:
9651:
9648:
9646:
9643:
9641:
9638:
9636:
9635:Moral courage
9633:
9631:
9628:
9626:
9623:
9621:
9618:
9616:
9613:
9611:
9608:
9606:
9603:
9601:
9598:
9596:
9593:
9589:
9586:
9584:
9581:
9579:
9576:
9575:
9574:
9573:Good and evil
9571:
9569:
9566:
9564:
9561:
9559:
9558:Family values
9556:
9554:
9551:
9549:
9546:
9544:
9541:
9539:
9536:
9534:
9531:
9529:
9526:
9524:
9521:
9519:
9516:
9514:
9511:
9509:
9506:
9504:
9501:
9499:
9496:
9494:
9491:
9490:
9488:
9484:
9478:
9475:
9473:
9470:
9468:
9465:
9463:
9460:
9458:
9455:
9453:
9450:
9448:
9445:
9443:
9440:
9438:
9435:
9433:
9430:
9428:
9425:
9423:
9420:
9419:
9417:
9413:
9405:
9402:
9401:
9400:
9397:
9395:
9392:
9390:
9387:
9385:
9382:
9378:
9375:
9373:
9372:Quasi-realism
9370:
9368:
9365:
9363:
9360:
9359:
9358:
9355:
9353:
9350:
9348:
9345:
9343:
9340:
9338:
9335:
9329:
9326:
9324:
9321:
9320:
9319:
9316:
9312:
9309:
9307:
9304:
9303:
9302:
9299:
9298:
9297:
9294:
9292:
9289:
9287:
9284:
9283:
9281:
9279:
9275:
9269:
9266:
9264:
9261:
9259:
9256:
9254:
9251:
9249:
9246:
9244:
9241:
9239:
9236:
9234:
9231:
9229:
9226:
9224:
9221:
9219:
9216:
9214:
9211:
9209:
9206:
9202:
9199:
9198:
9197:
9196:Environmental
9194:
9192:
9189:
9187:
9184:
9182:
9179:
9177:
9174:
9172:
9169:
9167:
9164:
9162:
9159:
9158:
9156:
9154:
9150:
9144:
9141:
9139:
9136:
9134:
9131:
9129:
9126:
9124:
9121:
9119:
9118:Particularism
9116:
9114:
9111:
9109:
9106:
9104:
9101:
9100:
9098:
9096:
9092:
9088:
9081:
9076:
9074:
9069:
9067:
9062:
9061:
9058:
9044:
9040:
9035:
9032:
9028:
9024:
9020:
9015:
9010:
9005:
9000:
8997:(1): 99β120.
8996:
8992:
8988:
8983:
8981:
8977:
8974:
8972:
8969:
8966:
8962:
8959:
8956:
8954:
8951:
8947:
8943:
8939:
8935:
8930:
8925:
8921:
8917:
8913:
8909:
8905:
8900:
8898:
8894:
8891:
8889:
8888:
8883:
8880:
8879:
8866:
8862:
8857:
8852:
8848:
8844:
8840:
8833:
8819:
8815:
8809:
8805:
8801:
8797:
8793:
8786:
8771:
8767:
8763:
8757:
8741:
8737:
8733:
8729:
8725:
8721:
8714:
8698:
8694:
8690:
8686:
8680:
8676:
8675:
8667:
8652:
8648:
8644:
8638:
8631:
8625:
8618:
8612:
8597:
8593:
8589:
8582:
8566:
8562:
8555:
8548:
8544:
8541:
8536:
8521:
8517:
8513:
8509:
8505:
8501:
8497:
8493:
8489:
8485:
8478:
8470:
8466:
8465:3 laws unsafe
8462:
8455:
8439:
8435:
8429:
8420:
8415:
8411:
8407:
8403:
8396:
8388:
8382:
8378:
8377:
8369:
8354:
8350:
8344:
8340:
8339:
8331:
8317:
8313:
8309:
8302:
8294:
8290:
8286:
8282:
8277:
8272:
8268:
8264:
8260:
8253:
8238:
8234:
8230:
8226:
8222:
8215:
8207:
8203:
8199:
8195:
8190:
8185:
8181:
8177:
8173:
8167:
8152:
8148:
8144:
8137:
8122:
8118:
8114:
8108:
8093:
8089:
8085:
8078:
8063:
8059:
8055:
8049:
8041:
8037:
8033:
8027:
8023:
8022:
8014:
7998:
7994:
7990:
7986:
7980:
7976:
7975:
7967:
7952:
7948:
7942:
7926:
7922:
7918:
7912:
7904:
7900:
7895:
7890:
7886:
7882:
7878:
7874:
7870:
7866:
7862:
7855:
7840:
7836:
7832:
7826:
7817:
7812:
7805:
7798:
7794:
7790:
7787:
7779:
7764:
7760:
7754:
7739:
7735:
7729:
7714:
7710:
7706:
7700:
7685:
7681:
7677:
7671:
7656:
7652:
7648:
7642:
7627:
7623:
7619:
7615:
7611:
7605:
7590:
7586:
7582:
7576:
7568:
7567:
7560:
7545:
7541:
7535:
7520:
7516:
7510:
7495:
7491:
7487:
7481:
7466:
7462:
7458:
7454:
7450:
7446:
7442:
7438:
7434:
7430:
7423:
7407:
7403:
7399:
7392:
7384:
7380:
7375:
7370:
7366:
7362:
7358:
7354:
7350:
7346:
7342:
7335:
7326:
7321:
7316:
7311:
7307:
7303:
7299:
7292:
7278:
7274:
7268:
7264:
7260:
7256:
7252:
7245:
7230:
7226:
7222:
7218:
7214:
7210:
7206:
7202:
7198:
7194:
7187:
7179:
7175:
7171:
7165:
7161:
7160:
7155:
7149:
7142:
7138:
7135:
7129:
7114:
7110:
7106:
7102:
7098:
7093:
7088:
7084:
7080:
7076:
7072:
7068:
7061:
7053:
7047:
7043:
7036:
7029:
7025:
7022:
7016:
7009:
7005:
7002:
6996:
6980:
6976:
6972:
6965:
6963:
6948:
6944:
6937:
6921:
6917:
6911:
6907:
6900:
6899:
6891:
6889:
6873:
6869:
6863:
6848:
6844:
6840:
6833:
6818:
6814:
6810:
6803:
6801:
6785:
6781:
6777:
6771:
6756:
6755:
6750:
6743:
6728:
6724:
6720:
6713:
6705:
6701:
6697:
6693:
6689:
6685:
6682:(2): 99β107.
6681:
6677:
6670:
6655:
6651:
6647:
6643:
6639:
6635:
6631:
6627:
6623:
6619:
6615:
6611:
6604:
6597:
6593:
6590:
6585:
6577:
6573:
6569:
6562:
6555:
6551:
6548:
6543:
6536:
6532:
6529:
6524:
6522:
6514:
6510:
6507:
6502:
6495:
6491:
6488:
6483:
6475:
6471:
6467:
6463:
6459:
6455:
6451:
6447:
6443:
6436:
6421:
6417:
6413:
6407:
6393:on 2019-07-26
6392:
6388:
6384:
6378:
6363:
6359:
6355:
6349:
6341:
6337:
6332:
6327:
6323:
6319:
6315:
6311:
6307:
6300:
6286:
6282:
6278:
6274:
6268:
6264:
6260:
6256:
6252:
6245:
6230:
6226:
6222:
6219:Delbridge E.
6215:
6200:
6196:
6192:
6186:
6171:
6167:
6163:
6157:
6141:
6137:
6133:
6129:
6123:
6107:
6103:
6099:
6092:
6083:
6078:
6071:
6069:
6060:
6056:
6052:
6048:
6044:
6040:
6033:
6026:
6022:
6017:
6015:
6004:
6002:1-5688-1205-1
5998:
5994:
5990:
5986:
5982:
5976:
5972:
5971:
5966:
5962:
5961:
5958:
5956:
5939:
5932:
5924:
5917:
5910:
5895:
5891:
5887:
5883:
5879:
5875:
5871:
5867:
5863:
5857:
5848:
5843:
5839:
5833:
5825:
5821:
5816:
5811:
5807:
5803:
5802:
5797:
5793:
5787:
5779:
5775:
5771:
5767:
5762:
5757:
5753:
5749:
5748:
5740:
5732:
5728:
5724:
5720:
5716:
5712:
5708:
5704:
5700:
5696:
5695:Risk Analysis
5692:
5685:
5677:
5673:
5669:
5663:
5659:
5652:
5636:
5632:
5628:
5621:
5606:
5602:
5596:
5580:
5576:
5572:
5565:
5549:
5545:
5541:
5535:
5526:
5521:
5516:
5511:
5507:
5503:
5499:
5492:
5476:
5472:
5468:
5464:
5460:
5456:
5450:
5441:
5436:
5432:
5428:
5424:
5420:
5414:
5406:
5402:
5397:
5392:
5388:
5384:
5379:
5374:
5370:
5366:
5362:
5355:
5340:
5336:
5330:
5328:
5312:
5308:
5304:
5299:
5294:
5290:
5286:
5282:
5278:
5274:
5270:
5269:AI and Ethics
5266:
5259:
5244:
5240:
5236:
5230:
5222:
5218:
5213:
5208:
5205:(S6): 32β44.
5204:
5200:
5199:Global Policy
5196:
5189:
5174:
5170:
5166:
5159:
5144:
5140:
5136:
5129:
5114:
5110:
5106:
5100:
5085:
5081:
5077:
5071:
5053:
5049:
5042:
5035:
5017:
5013:
5006:
5000:
4985:
4981:
4977:
4970:
4962:
4958:
4953:
4948:
4944:
4940:
4936:
4929:
4921:
4917:
4913:
4909:
4905:
4901:
4897:
4893:
4889:
4882:
4875:
4871:
4868:
4863:
4848:
4844:
4840:
4833:
4819:
4815:
4808:
4792:
4788:
4784:
4777:
4769:
4765:
4761:
4757:
4753:
4749:
4745:
4741:
4734:
4717:
4713:
4709:
4705:
4699:
4695:
4691:
4687:
4686:
4679:
4671:
4667:
4660:
4645:
4641:
4637:
4631:
4616:
4612:
4608:
4601:
4594:
4590:
4587:
4583:
4579:
4576:
4571:
4555:
4551:
4547:
4540:
4532:
4528:
4524:
4517:
4509:
4505:
4504:The Economist
4500:
4493:
4485:
4481:
4476:
4468:
4460:
4456:
4452:
4445:
4436:
4431:
4424:
4409:
4404:
4399:
4394:
4389:
4385:
4381:
4374:
4365:
4360:
4355:
4350:
4346:
4342:
4335:
4327:
4323:
4318:
4313:
4309:
4305:
4301:
4297:
4293:
4289:
4285:
4278:
4270:
4264:
4259:
4254:
4249:
4244:
4240:
4233:
4225:
4219:
4214:
4209:
4205:
4198:
4189:
4184:
4177:
4175:
4166:
4162:
4157:
4152:
4148:
4144:
4140:
4133:
4125:
4121:
4116:
4111:
4107:
4103:
4098:
4093:
4089:
4085:
4081:
4074:
4066:
4062:
4057:
4052:
4048:
4044:
4040:
4036:
4032:
4028:
4024:
4017:
4009:
4005:
4000:
3995:
3991:
3987:
3983:
3976:
3962:
3958:
3952:
3948:
3944:
3940:
3936:
3929:
3927:
3911:
3907:
3903:
3898:
3893:
3889:
3885:
3881:
3877:
3873:
3869:
3865:
3858:
3850:
3846:
3841:
3836:
3832:
3828:
3821:
3812:
3807:
3800:
3792:
3788:
3784:
3780:
3775:
3770:
3766:
3762:
3755:
3747:
3743:
3739:
3735:
3730:
3725:
3720:
3715:
3711:
3707:
3703:
3696:
3681:
3677:
3671:
3656:
3652:
3648:
3641:
3626:
3622:
3618:
3611:
3602:
3597:
3593:
3586:
3577:
3572:
3568:
3564:
3560:
3553:
3538:
3534:
3530:
3524:
3509:
3505:
3501:
3495:
3480:
3476:
3472:
3465:
3450:
3445:
3440:
3435:
3430:
3426:
3422:
3415:
3400:
3396:
3392:
3386:
3378:
3374:
3369:
3364:
3360:
3356:
3352:
3345:
3330:
3326:
3322:
3316:
3301:
3297:
3293:
3289:
3285:
3281:
3277:
3273:
3266:
3258:
3254:
3249:
3244:
3239:
3234:
3230:
3226:
3222:
3218:
3214:
3210:
3204:
3188:
3184:
3180:
3173:
3158:
3154:
3150:
3143:
3128:
3124:
3120:
3113:
3098:
3094:
3090:
3084:
3069:
3065:
3061:
3054:
3046:
3042:
3037:
3032:
3028:
3024:
3020:
3013:
3005:
3001:
2997:
2993:
2988:
2983:
2979:
2975:
2971:
2964:
2962:
2947:
2943:
2939:
2932:
2923:
2918:
2914:
2907:
2892:
2888:
2881:
2863:
2859:
2855:
2848:
2844:
2840:
2834:
2826:
2820:
2816:
2812:
2805:
2790:
2786:
2782:
2775:
2760:
2756:
2752:
2745:
2730:
2726:
2719:
2711:
2707:
2703:
2699:
2694:
2689:
2685:
2681:
2677:
2670:
2668:
2659:
2655:
2651:
2644:
2636:
2632:
2628:
2624:
2620:
2616:
2609:
2601:
2597:
2593:
2589:
2585:
2581:
2574:
2566:
2560:
2556:
2552:
2545:
2529:
2525:
2518:
2510:
2506:
2502:
2495:
2493:
2488:
2477:
2474:
2472:
2471:
2467:
2465:
2462:
2460:
2457:
2455:
2452:
2450:
2447:
2445:
2442:
2440:
2439:
2435:
2433:
2430:
2428:
2425:
2423:
2420:
2418:
2415:
2413:
2410:
2407:
2404:
2402:
2399:
2397:
2394:
2392:
2389:
2388:
2381:
2378:
2376:
2375:Kevin Warwick
2372:
2371:Hugo de Garis
2369:initiated by
2368:
2364:
2360:
2355:
2352:
2351:
2346:
2344:
2340:
2335:
2333:
2332:
2327:
2326:
2321:
2320:
2315:
2314:Dr. Zimmerman
2311:
2310:
2305:
2301:
2297:
2293:
2292:
2287:
2286:game consoles
2283:
2279:
2278:
2267:
2264:
2263:
2258:
2257:
2252:
2251:
2246:
2245:
2240:
2239:
2233:
2232:feature films
2223:
2221:
2217:
2213:
2212:
2207:
2203:
2202:
2196:
2194:
2190:
2189:
2184:
2183:
2178:
2177:
2173:'s 2013 film
2172:
2166:
2164:
2160:
2159:
2154:
2153:
2148:
2147:
2142:
2138:
2137:
2132:
2128:
2127:
2122:
2118:
2117:
2112:
2108:
2103:
2101:
2097:
2086:
2084:
2077:
2067:
2065:
2060:
2057:
2052:
2050:
2046:
2042:
2038:
2036:
2031:
2027:
2023:
2022:
2017:
2013:
2009:
2005:
2004:
2000:'s 1927 film
1999:
1995:
1994:
1989:
1985:
1981:
1977:
1976:
1971:
1970:
1965:
1961:
1956:
1954:
1950:
1946:
1942:
1941:Enlightenment
1930:
1927:
1925:
1922:
1920:
1917:
1914:
1911:
1910:
1901:
1897:
1893:
1890:
1887:
1883:
1879:
1875:
1872:
1868:
1864:
1860:
1856:
1853:
1852:Joanna Bryson
1849:
1848:Hertie School
1845:
1842:
1838:
1834:
1830:
1826:
1822:
1821:
1812:
1808:
1804:
1803:Nanosemantics
1800:
1796:
1792:
1788:
1784:
1780:
1776:
1772:
1769:
1765:
1761:
1758:
1754:
1752:
1748:
1744:
1740:
1736:
1732:
1728:
1724:
1723:United States
1720:
1719:
1710:
1706:
1703:
1699:
1696:
1692:
1688:
1684:
1683:
1677:
1673:
1671:
1667:
1662:
1659:
1654:
1649:
1647:
1643:
1639:
1635:
1631:
1627:
1623:
1615:
1613:
1609:
1605:
1601:
1597:
1593:
1589:
1583:
1581:
1576:
1574:
1569:
1565:
1561:
1560:
1555:
1550:
1548:
1544:
1540:
1535:
1531:
1527:
1517:
1515:
1510:
1506:
1504:
1500:
1495:
1490:
1488:
1484:
1480:
1475:
1473:
1469:
1465:
1461:
1457:
1452:
1449:
1445:
1441:
1437:
1432:
1430:
1426:
1420:
1418:
1414:
1410:
1404:
1402:
1395:
1388:Weaponization
1385:
1381:
1377:
1374:
1370:
1365:
1362:
1356:
1346:
1344:
1340:
1339:John McCarthy
1335:
1333:
1328:
1325:
1320:
1316:
1313:
1305:
1304:Kenneth Colby
1301:
1298:
1295:
1292:
1289:
1285:
1281:
1278:
1274:
1273:
1272:
1270:
1265:
1255:
1253:
1249:
1245:
1240:
1238:
1234:
1230:
1226:
1222:
1218:
1212:
1210:
1206:
1202:
1198:
1187:
1184:
1183:Joanna Bryson
1180:
1178:
1174:
1169:
1167:
1163:
1159:
1155:
1150:
1148:
1144:
1140:
1139:animal rights
1136:
1128:
1124:
1119:
1110:
1108:
1102:
1100:
1096:
1092:
1087:
1072:
1070:
1064:
1062:
1058:
1054:
1048:
1045:
1038:
1028:
1026:
1022:
1018:
1014:
1010:
1006:
1002:
998:
988:
986:
981:
979:
974:
964:
962:
958:
954:
950:
946:
942:
938:
933:
927:
925:
921:
916:
914:
910:
906:
902:
898:
893:
884:
882:
878:
874:
870:
866:
862:
858:
854:
853:Alphabet Inc.
850:
840:
831:
822:
820:
810:
808:
800:Language bias
797:
795:
790:
788:
787:breast cancer
783:
779:
777:
773:
769:
765:
761:
756:
752:
748:
742:
740:
736:
730:
727:
721:
719:
715:
710:
706:
700:
697:
692:
684:
683:Kamala Harris
667:
652:
650:
646:
642:
638:
634:
630:
626:
624:
620:
610:
605:
595:
593:
589:
585:
581:
577:
573:
569:
565:
561:
557:
553:
549:
544:
541:
537:
533:
528:
524:
523:Alan Winfield
520:
515:
513:
509:
505:
501:
495:
491:
481:
479:
474:
472:
468:
464:
460:
457:, AI-enabled
456:
452:
448:
444:
440:
436:
432:
428:
424:
420:
416:
412:
408:
404:
392:
387:
385:
380:
378:
373:
372:
370:
369:
362:
359:
358:
352:
351:
344:
341:
339:
336:
334:
331:
329:
326:
325:
322:
317:
316:
309:
306:
304:
301:
299:
296:
294:
291:
289:
285:
282:
280:
277:
275:
272:
270:
267:
266:
263:
258:
257:
250:
247:
245:
242:
240:
237:
235:
232:
228:
227:Mental health
225:
224:
223:
220:
218:
215:
213:
210:
206:
203:
201:
198:
196:
193:
192:
191:
190:Generative AI
188:
186:
183:
181:
178:
176:
173:
171:
168:
167:
164:
159:
158:
151:
148:
146:
143:
141:
138:
136:
133:
131:
130:Deep learning
128:
126:
123:
121:
118:
117:
111:
110:
103:
100:
98:
95:
93:
90:
88:
85:
83:
80:
78:
75:
73:
70:
68:
65:
63:
60:
58:
55:
54:
51:
46:
45:
39:
35:
34:
31:
28:
27:
23:
22:
19:
11509:Larry Laudan
11489:Imre Lakatos
11444:Otto Neurath
11419:Karl Pearson
11409:Pierre Duhem
11381:Isaac Newton
11311:Protoscience
11269:Epistemology
11143:Anti-realism
11141: /
11122: /
11113: /
11099: /
11097:Reductionism
11095: /
11068:Inductionism
11048:Evolutionism
10853:
10740:a posteriori
10739:
10735:
10647:
10640:
10633:
10626:
10614:
10574:Jaan Tallinn
10514:Eric Drexler
10504:Nick Bostrom
10346:
10317:AI alignment
10231:
10187:Human rights
10130:After Virtue
9856:Schopenhauer
9630:Moral agency
9503:Common sense
9399:Universalism
9367:Expressivism
9347:Intuitionism
9318:Subjectivism
9263:Terraforming
9238:Professional
9165:
9046:. Retrieved
9042:
8994:
8990:
8911:
8907:
8885:
8846:
8842:
8832:
8822:, retrieved
8795:
8785:
8774:. Retrieved
8765:
8756:
8744:. Retrieved
8727:
8724:Game Studies
8723:
8713:
8701:. Retrieved
8673:
8666:
8655:. Retrieved
8646:
8637:
8629:
8624:
8616:
8611:
8600:. Retrieved
8591:
8581:
8569:. Retrieved
8554:
8535:
8524:. Retrieved
8491:
8487:
8477:
8469:the original
8464:
8454:
8442:. Retrieved
8428:
8409:
8405:
8395:
8375:
8368:
8357:. Retrieved
8337:
8330:
8320:, retrieved
8311:
8301:
8269:(20201214).
8266:
8262:
8252:
8241:. Retrieved
8224:
8214:
8179:
8175:
8166:
8155:. Retrieved
8146:
8136:
8125:. Retrieved
8116:
8107:
8096:. Retrieved
8087:
8077:
8066:. Retrieved
8057:
8048:
8020:
8013:
8001:. Retrieved
7973:
7966:
7955:. Retrieved
7941:
7929:. Retrieved
7920:
7911:
7868:
7864:
7854:
7843:. Retrieved
7834:
7825:
7804:
7799:, 25.11.2021
7783:(in Russian)
7778:
7767:. Retrieved
7753:
7742:. Retrieved
7728:
7717:. Retrieved
7708:
7699:
7688:. Retrieved
7679:
7670:
7659:. Retrieved
7650:
7641:
7630:. Retrieved
7613:
7604:
7593:. Retrieved
7584:
7575:
7565:
7559:
7548:. Retrieved
7534:
7523:. Retrieved
7509:
7498:. Retrieved
7489:
7480:
7469:. Retrieved
7436:
7432:
7422:
7410:. Retrieved
7401:
7391:
7348:
7344:
7334:
7325:2318/1685727
7305:
7301:
7291:
7281:, retrieved
7254:
7244:
7233:. Retrieved
7200:
7196:
7186:
7158:
7148:
7128:
7117:. Retrieved
7092:2318/1685533
7074:
7070:
7060:
7041:
7035:
7015:
6995:
6983:. Retrieved
6974:
6950:. Retrieved
6946:
6936:
6924:. Retrieved
6897:
6876:. Retrieved
6871:
6862:
6851:. Retrieved
6842:
6832:
6821:. Retrieved
6813:The Atlantic
6812:
6788:. Retrieved
6779:
6770:
6758:. Retrieved
6752:
6742:
6731:. Retrieved
6722:
6712:
6679:
6675:
6669:
6658:. Retrieved
6634:2318/1699364
6617:
6613:
6603:
6584:
6567:
6561:
6542:
6501:
6482:
6449:
6445:
6435:
6424:. Retrieved
6416:www.ncsl.org
6415:
6406:
6395:. Retrieved
6391:the original
6386:
6377:
6366:. Retrieved
6357:
6348:
6313:
6309:
6299:
6289:, retrieved
6254:
6244:
6233:. Retrieved
6224:
6214:
6203:. Retrieved
6194:
6185:
6174:. Retrieved
6165:
6156:
6144:. Retrieved
6136:The Guardian
6135:
6122:
6110:. Retrieved
6101:
6091:
6045:(1): 15β25.
6042:
6038:
6032:
6023:, quoted in
5992:
5969:
5965:Weizenbaum J
5942:. Retrieved
5931:
5922:
5909:
5898:. Retrieved
5873:
5869:
5856:
5847:2303.07103v1
5832:
5805:
5799:
5786:
5751:
5745:
5739:
5698:
5694:
5684:
5657:
5651:
5639:. Retrieved
5630:
5620:
5609:. Retrieved
5595:
5583:. Retrieved
5579:the original
5574:
5564:
5552:. Retrieved
5543:
5534:
5505:
5501:
5491:
5479:. Retrieved
5462:
5449:
5430:
5427:Teknokultura
5426:
5413:
5368:
5364:
5354:
5343:. Retrieved
5341:. 2021-10-18
5338:
5315:. Retrieved
5272:
5268:
5258:
5247:. Retrieved
5238:
5229:
5202:
5198:
5188:
5177:. Retrieved
5168:
5158:
5147:. Retrieved
5138:
5128:
5117:. Retrieved
5109:www.oecd.org
5108:
5099:
5088:. Retrieved
5079:
5070:
5059:. Retrieved
5050:. Deloitte.
5047:
5034:
5023:. Retrieved
5011:
4999:
4988:. Retrieved
4979:
4969:
4945:(1): 28β53.
4942:
4938:
4928:
4895:
4891:
4881:
4862:
4851:. Retrieved
4842:
4832:
4821:. Retrieved
4817:
4807:
4795:. Retrieved
4786:
4776:
4743:
4733:
4720:. Retrieved
4684:
4678:
4669:
4659:
4648:. Retrieved
4639:
4630:
4619:. Retrieved
4610:
4600:
4570:
4558:. Retrieved
4549:
4539:
4527:CNN Business
4526:
4516:
4503:
4492:
4480:The Atlantic
4479:
4467:
4455:Ars Technica
4454:
4444:
4435:2305.18189v1
4423:
4412:. Retrieved
4383:
4373:
4344:
4334:
4291:
4287:
4277:
4238:
4232:
4203:
4197:
4188:2303.16281v2
4146:
4142:
4132:
4087:
4083:
4073:
4030:
4026:
4016:
3989:
3985:
3975:
3965:, retrieved
3938:
3914:. Retrieved
3871:
3867:
3857:
3830:
3820:
3799:
3767:(2): 48β55.
3764:
3760:
3754:
3729:11384/136444
3709:
3705:
3695:
3684:. Retrieved
3670:
3659:. Retrieved
3650:
3640:
3629:. Retrieved
3620:
3610:
3585:
3566:
3562:
3552:
3541:. Retrieved
3532:
3523:
3512:. Retrieved
3503:
3494:
3483:. Retrieved
3474:
3464:
3453:. Retrieved
3424:
3414:
3403:. Retrieved
3394:
3385:
3358:
3354:
3344:
3333:. Retrieved
3324:
3315:
3304:. Retrieved
3279:
3275:
3265:
3220:
3216:
3203:
3191:. Retrieved
3182:
3172:
3161:. Retrieved
3152:
3142:
3131:. Retrieved
3122:
3112:
3101:. Retrieved
3092:
3083:
3072:. Retrieved
3063:
3053:
3026:
3022:
3012:
2977:
2973:
2950:, retrieved
2941:
2931:
2912:
2906:
2895:. Retrieved
2880:
2869:. Retrieved
2853:
2833:
2810:
2804:
2793:. Retrieved
2784:
2774:
2763:. Retrieved
2754:
2744:
2733:. Retrieved
2718:
2683:
2679:
2660:(2): 92β109.
2657:
2653:
2643:
2618:
2614:
2608:
2586:(4): 10β11.
2583:
2579:
2573:
2550:
2544:
2532:. Retrieved
2517:
2504:
2468:
2436:
2379:
2363:desirability
2362:
2361:and more on
2358:
2356:
2348:
2347:
2336:
2329:
2323:
2317:
2307:
2289:
2275:
2273:
2261:
2255:
2249:
2244:Black Mirror
2242:
2236:
2229:
2209:
2199:
2197:
2188:The Sandmann
2186:
2181:
2175:
2167:
2163:Ridley Scott
2158:Blade Runner
2156:
2151:
2144:
2134:
2126:The Sentinel
2124:
2114:
2104:
2099:
2095:
2092:
2082:
2079:
2061:
2053:
2039:
2019:
2016:Isaac Asimov
2012:technocratic
2001:
1991:
1983:
1974:
1969:Frankenstein
1967:
1964:Mary Shelley
1957:
1938:
1912:
1884:directed by
1750:
1731:white papers
1674:
1663:
1650:
1624:
1621:
1596:Bill Hibbard
1584:
1577:
1564:Nick Bostrom
1557:
1551:
1539:Vernor Vinge
1537:
1511:
1507:
1491:
1476:
1472:Noam Chomsky
1468:Jaan Tallinn
1460:Kalashnikovs
1453:
1433:
1421:
1405:
1397:
1382:
1378:
1366:
1358:
1343:Bill Hibbard
1336:
1329:
1317:
1309:
1287:
1286:in her book
1267:
1244:Nick Bostrom
1241:
1213:
1193:
1181:
1170:
1162:human rights
1158:Saudi Arabia
1151:
1135:human rights
1132:
1113:Robot rights
1103:
1083:
1065:
1049:
1040:
1001:moral agency
994:
982:
970:
967:Transparency
941:cyberattacks
928:
917:
897:Hugging Face
892:Bill Hibbard
890:
881:data centers
846:
837:
834:Stereotyping
828:
816:
803:
791:
780:
743:
731:
722:
701:
688:
627:
616:
607:
604:Robot ethics
598:Robot ethics
564:Nick Bostrom
547:
545:
532:Neuromorphic
516:
512:moral agency
497:
494:AI alignment
475:
463:moral status
400:
292:
274:Chinese room
163:Applications
18:
11499:Ian Hacking
11484:Thomas Kuhn
11469:Karl Popper
11449:C. D. Broad
11366:Roger Bacon
11294:Non-science
11236:Linguistics
11216:Archaeology
11111:Rationalism
11101:Determinism
11088:Physicalism
11053:Fallibilism
11003:Coherentism
10933:Testability
10886:Observation
10881:Objectivity
10842:alternative
10773:Correlation
10763:Consilience
10579:Max Tegmark
10564:Martin Rees
10372:Longtermism
10332:AI takeover
10005:(c. 322 BC)
9871:Kierkegaard
9690:Stewardship
9467:Rousseauian
9384:Rationalism
9296:Cognitivism
9243:Programming
9218:Meat eating
9191:Engineering
8746:11 November
8703:11 November
8117:Algorethics
8003:29 November
6985:24 February
6225:The Balance
5989:McCorduck P
5944:12 February
4797:January 10,
4670:AI Business
4586:proceedings
3992:(2): 5β27.
3569:: 587β604.
2843:Yudkowsky E
2615:AI Magazine
2391:AI takeover
2359:possibility
2339:Mass Effect
2238:Real Humans
2216:Nobel Prize
2171:Spike Jonze
2129:, on which
2049:Friendly AI
2043:, from the
1980:Karel Δapek
1953:Turing test
1924:Black in AI
1913:Algorethics
1813:and others.
1520:Singularity
1466:co-founder
1448:Max Tegmark
1337:AI founder
1306:in the 70s)
1173:sentientism
1166:rule of law
1145:and by the
1121:A hospital
1097:(TPUs) and
985:black-boxes
887:Open-source
879:power from
813:Gender bias
764:ethnicities
718:text corpus
681:US Senator
637:beneficence
619:beneficence
527:Turing test
303:Turing test
279:Friendly AI
50:Major goals
11559:Categories
11386:David Hume
11359:Precursors
11241:Psychology
11221:Economicsβ
11115:Empiricism
11106:Pragmatism
11093:Positivism
11083:Naturalism
10953:scientific
10837:Hypothesis
10800:Experiment
10544:Shane Legg
10519:Sam Harris
10494:Sam Altman
10433:EleutherAI
9901:Bonhoeffer
9610:Immorality
9553:Eudaimonia
9513:Conscience
9508:Compassion
9394:Skepticism
9389:Relativism
9306:Naturalism
9286:Absolutism
9258:Technology
9108:Deontology
9048:2024-03-04
9004:1903.03425
8824:2020-11-11
8776:2021-12-07
8693:1143647559
8657:2021-12-21
8602:2023-12-08
8526:2024-02-21
8494:(1): 1β9.
8444:10 January
8359:2024-02-21
8322:2023-12-08
8243:2021-12-21
8157:2021-12-22
8127:2024-08-28
8098:2023-04-06
8068:2020-11-29
8058:www.tum.de
8040:1114334813
7957:2021-02-21
7931:13 January
7845:2020-11-29
7816:1705.08807
7797:Kommersant
7769:2021-09-19
7744:2019-07-22
7719:2019-07-22
7690:2020-11-28
7661:2021-03-16
7632:2021-03-16
7595:2023-04-26
7550:2021-03-18
7525:2021-03-18
7500:2020-02-20
7471:2023-07-21
7283:2020-11-29
7235:2020-11-29
7178:1083694322
7119:2020-11-29
6952:2023-02-17
6878:2024-04-07
6853:2017-08-04
6823:2017-03-06
6790:2019-07-26
6733:2019-07-26
6704:1372020233
6660:2020-11-11
6576:1126650738
6426:2019-07-26
6397:2019-07-26
6368:2019-07-26
6291:2020-11-11
6235:2019-05-29
6205:2019-07-26
6176:2019-07-26
5940:. BBC News
5900:2024-07-08
5838:Chalmers D
5761:2002.05652
5641:10 January
5611:2017-10-27
5554:January 3,
5345:2023-03-19
5317:2022-05-29
5249:2019-08-09
5179:2020-03-16
5149:2019-07-26
5119:2019-07-26
5090:2019-07-26
5061:2019-01-10
5025:2023-10-06
4990:2019-08-14
4853:2024-04-07
4823:2024-04-07
4650:2024-04-07
4621:2024-04-07
4414:2023-12-25
4393:2305.02321
4354:2305.08283
4248:2308.14921
4033:: 100378.
3967:2023-12-14
3916:2024-04-21
3811:2311.12435
3774:2212.06495
3686:2020-10-28
3661:2019-07-26
3645:Knight W.
3631:2022-02-18
3601:1803.09010
3543:2019-07-26
3514:2019-07-26
3485:2019-07-26
3455:2023-11-13
3434:2305.02797
3405:2019-07-26
3335:2019-05-29
3306:2023-12-14
3209:Koenecke A
3163:2019-07-22
3133:2019-07-22
3117:Knight W.
3103:2019-07-22
3093:TechCrunch
3074:2019-07-22
2987:1906.11668
2952:2021-03-18
2897:2015-01-04
2871:2011-06-22
2795:2024-04-07
2765:2024-04-07
2735:2017-03-04
2522:Anderson.
2444:Personhood
2396:AI washing
2296:speciesism
2291:The Matrix
2274:The movie
2206:Ian McEwan
2182:Ex Machina
2003:Metropolis
1998:Fritz Lang
1807:Rostelecom
1666:government
1646:non-profit
1190:AI welfare
1031:Regulation
1005:negligence
937:bioweapons
932:fine-tuned
901:EleutherAI
861:Apple Inc.
623:solidarity
478:healthcare
445:dynamics,
431:regulation
308:Regulation
262:Philosophy
217:Healthcare
212:Government
114:Approaches
11226:Geography
11194:Chemistry
11153:Scientism
10948:ladenness
10768:Construct
10746:Causality
10559:Huw Price
10549:Elon Musk
10453:Humanity+
10327:AI safety
10162:Casuistry
10074:Either/Or
9981:Korsgaard
9976:Azurmendi
9941:MacIntyre
9881:Nietzsche
9811:Augustine
9806:Confucius
9786:Aristotle
9762:Ethicists
9720:Intrinsic
9685:Suffering
9595:Happiness
9568:Free will
9548:Etiquette
9493:Authority
9437:Epicurean
9432:Confucian
9427:Christian
9362:Emotivism
9186:Discourse
9123:Pragmatic
9095:Normative
8865:225466550
8736:1604-7982
8563:. Nesta.
8508:0268-3962
8293:2330-4014
8233:0362-4331
7993:976407024
7885:1572-8641
7622:0017-8012
7461:247342066
7453:2330-1635
7412:18 August
7365:1353-3452
7225:218916769
7217:2705-0785
7154:Russell S
7109:158503813
7101:0016-3287
7077:: 63β73.
6642:0951-5666
6474:254644745
6466:1572-8609
6281:214359377
6082:1411.1373
6059:158433736
5890:2377-7478
5824:233176465
5808:: 43β66.
5778:211096533
5754:: 39β50.
5723:0272-4332
5676:642206106
5631:The Verge
5465:: 17β21.
5387:2044-5415
5289:2730-5961
5221:1758-5880
4961:2673-2688
4920:219079717
4912:0956-5698
4843:The Verge
4768:259614124
4760:2514-9369
4712:252589405
4308:2059-7908
4165:1942-4787
4106:2398-6352
4090:(1): 81.
4047:2352-9148
4008:0011-5266
3888:2059-7908
3849:0951-5666
3746:259678387
3738:2374-3468
3592:Wallach H
3469:Olson P.
3377:207195759
3296:1942-4787
3153:Brookings
3045:198775713
3004:201827642
2917:CiteSeerX
2839:Bostrom N
2702:1558-2256
2621:(4): 15.
2226:TV series
2123:'s short
2111:Runaround
2006:shows an
1949:Descartes
1707:In 2021,
1642:Microsoft
1483:Huw Price
1456:arms race
1409:black box
1293:A soldier
1025:AI audits
955:reasons.
877:computing
869:Microsoft
782:Injustice
776:algorithm
772:ethicists
633:bioethics
574:(such as
451:alignment
447:AI safety
443:arms race
338:AI winter
239:Military
102:AI safety
11521:Category
11173:Vitalism
10996:Theories
10970:Variable
10891:Paradigm
10778:function
10736:A priori
10725:Analysis
10718:Concepts
10671:Category
10539:Bill Joy
10305:Concepts
10252:Category
10192:Ideology
10157:Axiology
9986:Nussbaum
9936:Frankena
9931:Anscombe
9921:Williams
9876:Sidgwick
9796:Valluvar
9791:Diogenes
9776:Socrates
9700:Theodicy
9695:Sympathy
9660:Pacifism
9650:Morality
9563:Fidelity
9543:Equality
9498:Autonomy
9486:Concepts
9447:Feminist
9422:Buddhist
9352:Nihilism
9291:Axiology
9248:Research
9181:Computer
9176:Business
9023:72940833
8961:Archived
8938:26017428
8818:archived
8770:Archived
8740:Archived
8697:Archived
8651:Archived
8596:Archived
8565:Archived
8543:Archived
8520:Archived
8438:Archived
8376:I, Robot
8353:Archived
8316:archived
8237:Archived
8206:54481549
8198:31123357
8151:Archived
8121:Archived
8092:Archived
8062:Archived
7997:Archived
7951:Archived
7925:Archived
7903:30930541
7839:Archived
7789:Archived
7763:Archived
7761:. 2021.
7738:Archived
7713:Archived
7684:Archived
7655:Archived
7626:Archived
7589:Archived
7544:Archived
7519:Archived
7494:Archived
7465:Archived
7406:Archived
7402:CNNMoney
7383:32246245
7308:(1): 5.
7277:archived
7229:Archived
7137:Archived
7113:Archived
7024:Archived
7004:Archived
6979:Archived
6920:Archived
6847:Archived
6817:Archived
6784:Archived
6727:Archived
6700:ProQuest
6696:15205810
6654:Archived
6650:59606353
6592:Archived
6550:Archived
6531:Archived
6509:Archived
6490:Archived
6420:Archived
6362:Archived
6340:30356197
6285:archived
6229:Archived
6199:Archived
6170:Archived
6166:Futurism
6140:Archived
6106:Archived
5991:(2004),
5967:(1976).
5894:Archived
5731:34814229
5635:Archived
5605:Archived
5548:Archived
5544:BBC News
5475:Archived
5457:(2017).
5421:(2015).
5405:30636200
5311:Archived
5307:35634256
5243:Archived
5173:Archived
5143:Archived
5113:Archived
5084:Archived
5052:Archived
5016:Archived
4984:Archived
4870:Archived
4847:Archived
4791:Archived
4716:Archived
4644:Archived
4615:Archived
4589:Archived
4578:Archived
4554:Archived
4531:Archived
4508:Archived
4484:Archived
4459:Archived
4408:Archived
4326:37160371
4317:10186390
4124:32529043
4065:32839734
3986:Daedalus
3961:archived
3910:Archived
3906:37160371
3897:10186390
3680:Archived
3655:Archived
3625:Archived
3537:Archived
3508:Archived
3479:Archived
3449:Archived
3399:Archived
3329:Archived
3300:Archived
3257:32205437
3187:Archived
3157:Archived
3127:Archived
3097:Archived
3068:Archived
2970:Vayena E
2946:archived
2891:Archived
2862:Archived
2845:(2011).
2789:Archived
2759:Archived
2729:Archived
2710:77393713
2635:17033332
2528:Archived
2509:Archived
2384:See also
2331:I, Robot
2133:'s film
2116:I, Robot
2064:Lausanne
2021:I, Robot
1990:'s play
1960:romantic
1779:Sberbank
1634:Facebook
1279:systems)
1219:founder
1177:sentient
1164:and the
1091:COVID-19
849:Big Tech
645:autonomy
415:fairness
361:Glossary
355:Glossary
333:Progress
328:Timeline
288:Takeover
249:Projects
222:Industry
185:Finance
175:Deepfake
125:Symbolic
97:Robotics
72:Planning
11231:History
11199:Physics
11189:Biology
10987:more...
10975:control
10871:Inquiry
10150:Related
9896:Tillich
9861:Bentham
9836:Spinoza
9831:Aquinas
9816:Mencius
9730:Western
9705:Torture
9670:Precept
9625:Loyalty
9620:Liberty
9615:Justice
9528:Dignity
9518:Consent
9462:Kantian
9452:Islamic
9415:Schools
9301:Realism
9233:Nursing
9228:Medical
9213:Machine
9153:Applied
8946:4452826
8916:Bibcode
8895:at the
8884:at the
8516:5288506
7894:6404626
7709:HPCwire
7374:7286860
7071:Futures
6926:22 July
6760:14 June
6318:Bibcode
6146:26 July
6128:Levin S
6112:26 July
5862:Birch J
5703:Bibcode
5419:Evans W
5396:6560460
5298:9127285
5080:UN News
4560:17 July
4115:7264169
4056:7318970
3325:Reuters
3248:7149386
3225:Bibcode
2813:. USA:
2600:9570832
2534:27 June
2256:The One
2250:Osmosis
2218:winner
2008:android
1945:Leibniz
1935:History
1900:Harvard
1787:Rosatom
1721:In the
1312:empathy
1296:A judge
1199:or the
913:Mistral
807:ChatGPT
755:Muslims
751:hypoxia
649:justice
592:hackers
427:privacy
343:AI boom
321:History
244:Physics
10943:choice
10938:Theory
10876:Nature
10805:design
10482:People
10473:OpenAI
10141:(1984)
10133:(1981)
10125:(1979)
10117:(1971)
10109:(1903)
10101:(1887)
10093:(1874)
10085:(1861)
10077:(1843)
10069:(1820)
10061:(1788)
10053:(1785)
10045:(1780)
10037:(1759)
10029:(1740)
10021:(1726)
10013:(1677)
9971:Taylor
9956:Parfit
9951:Singer
9926:Mackie
9801:Cicero
9742:Virtue
9675:Rights
9600:Honour
9457:Jewish
9253:Sexual
9161:Animal
9143:Virtue
9087:Ethics
9021:
8944:
8936:
8908:Nature
8863:
8810:
8734:
8691:
8681:
8514:
8506:
8383:
8345:
8291:
8231:
8204:
8196:
8176:Nature
8038:
8028:
7991:
7981:
7901:
7891:
7883:
7620:
7459:
7451:
7381:
7371:
7363:
7269:
7223:
7215:
7176:
7166:
7107:
7099:
7048:
6912:
6902:(EPUB)
6723:Quartz
6702:
6694:
6648:
6640:
6574:
6472:
6464:
6358:GOV.UK
6338:
6310:Nature
6279:
6269:
6057:
5999:
5977:
5888:
5876:(16).
5822:
5776:
5729:
5721:
5674:
5664:
5585:May 2,
5481:10 May
5403:
5393:
5385:
5305:
5295:
5287:
5219:
4959:
4918:
4910:
4766:
4758:
4722:9 July
4710:
4700:
4324:
4314:
4306:
4265:
4220:
4163:
4122:
4112:
4104:
4063:
4053:
4045:
4006:
3953:
3904:
3894:
3886:
3847:
3744:
3736:
3621:DeepAI
3475:Forbes
3375:
3294:
3255:
3245:
3193:29 May
3064:Medium
3043:
3002:
2974:Nature
2919:
2821:
2708:
2700:
2633:
2598:
2561:
2100:R.U.R.
1984:robota
1783:Yandex
1734:2019).
1709:UNESCO
1640:, and
1630:Google
1626:Amazon
1532:, and
1514:summit
1324:Kaplan
1235:, the
1217:OpenAI
1154:Sophia
1017:AI Act
953:safety
945:OpenAI
909:Llama2
867:, and
857:Amazon
794:COMPAS
705:Amazon
504:agency
429:, and
403:ethics
293:Ethics
10603:Other
10296:from
10233:Index
9995:Works
9966:Adams
9961:Nagel
9916:Dewey
9911:Rawls
9891:Barth
9886:Moore
9851:Hegel
9826:Xunzi
9781:Plato
9771:Laozi
9752:Wrong
9725:Japan
9715:Value
9710:Trust
9605:Ideal
9472:Stoic
9223:Media
9208:Legal
9019:S2CID
8999:arXiv
8942:S2CID
8861:S2CID
8592:IDEES
8571:3 May
8512:S2CID
8202:S2CID
7921:WIRED
7811:arXiv
7457:S2CID
7221:S2CID
7105:S2CID
6692:S2CID
6646:S2CID
6470:S2CID
6277:S2CID
6102:Wired
6077:arXiv
6055:S2CID
5919:(PDF)
5842:arXiv
5820:S2CID
5774:S2CID
5756:arXiv
5433:(2).
5055:(PDF)
5044:(PDF)
5019:(PDF)
5008:(PDF)
4916:S2CID
4787:Wired
4764:S2CID
4708:S2CID
4430:arXiv
4388:arXiv
4349:arXiv
4243:arXiv
4183:arXiv
4149:(3).
3806:arXiv
3769:arXiv
3742:S2CID
3596:arXiv
3429:arXiv
3373:S2CID
3282:(3).
3041:S2CID
3000:S2CID
2982:arXiv
2865:(PDF)
2850:(PDF)
2785:ZDNET
2706:S2CID
2631:S2CID
2596:S2CID
2483:Notes
2408:(AGI)
1727:Obama
1464:Skype
1429:moral
1229:GPT-3
905:Gemma
205:Music
200:Audio
10847:null
10817:Fact
10738:and
9946:Hare
9906:Foot
9866:Mill
9846:Kant
9841:Hume
9821:Mozi
9737:Vice
9655:Norm
9583:Evil
9578:Good
9538:Duty
9278:Meta
9201:Land
9128:Role
9113:Care
8934:PMID
8808:ISBN
8748:2020
8732:ISSN
8705:2020
8689:OCLC
8679:ISBN
8573:2024
8504:ISSN
8446:2019
8381:ISBN
8343:ISBN
8289:ISSN
8229:ISSN
8194:PMID
8036:OCLC
8026:ISBN
8005:2020
7989:OCLC
7979:ISBN
7933:2023
7899:PMID
7881:ISSN
7618:ISSN
7449:ISSN
7414:2020
7379:PMID
7361:ISSN
7267:ISBN
7213:ISSN
7174:OCLC
7164:ISBN
7097:ISSN
7046:ISBN
6987:2017
6928:2024
6910:ISBN
6762:2023
6638:ISSN
6572:OCLC
6462:ISSN
6336:PMID
6267:ISBN
6148:2019
6114:2019
5997:ISBN
5975:ISBN
5946:2021
5886:ISSN
5727:PMID
5719:ISSN
5672:OCLC
5662:ISBN
5643:2019
5587:2010
5556:2010
5483:2017
5401:PMID
5383:ISSN
5303:PMID
5285:ISSN
5217:ISSN
5012:KPMG
4957:ISSN
4908:ISSN
4799:2019
4756:ISSN
4724:2023
4698:ISBN
4562:2024
4322:PMID
4304:ISSN
4263:ISBN
4218:ISBN
4161:ISSN
4120:PMID
4102:ISSN
4061:PMID
4043:ISSN
4004:ISSN
3951:ISBN
3902:PMID
3884:ISSN
3845:ISSN
3734:ISSN
3292:ISSN
3253:PMID
3195:2019
2819:ISBN
2755:CNBC
2698:ISSN
2654:Suri
2559:ISBN
2536:2011
2373:and
2325:A.I.
2322:and
1958:The
1876:The
1869:The
1857:The
1811:CIAN
1762:The
1755:The
1745:The
1725:the
1702:OECD
1700:The
1685:The
1653:IEEE
1651:The
1610:and
1446:and
1373:Uber
1053:OECD
911:and
899:and
875:and
647:and
582:and
566:and
492:and
469:and
449:and
401:The
10312:AGI
9747:Vow
9477:Tao
9171:Bio
9009:doi
8978:by
8924:doi
8912:521
8851:doi
8800:doi
8496:doi
8414:doi
8281:hdl
8271:doi
8184:doi
8180:564
8147:NPR
7889:PMC
7873:doi
7441:doi
7369:PMC
7353:doi
7320:hdl
7310:doi
7259:doi
7205:doi
7087:hdl
7079:doi
7075:100
6843:WSJ
6684:doi
6630:hdl
6622:doi
6454:doi
6326:doi
6314:562
6259:doi
6047:doi
5878:doi
5810:doi
5766:doi
5711:doi
5520:hdl
5510:doi
5467:doi
5435:doi
5391:PMC
5373:doi
5293:PMC
5277:doi
5207:doi
4947:doi
4900:doi
4818:Vox
4748:doi
4690:doi
4398:doi
4359:doi
4312:PMC
4296:doi
4253:doi
4208:doi
4151:doi
4110:PMC
4092:doi
4051:PMC
4035:doi
3994:doi
3990:151
3943:doi
3892:PMC
3876:doi
3835:doi
3787:hdl
3779:doi
3724:hdl
3714:doi
3571:doi
3439:doi
3363:doi
3284:doi
3243:PMC
3233:doi
3221:117
3031:doi
2992:doi
2688:doi
2684:107
2623:doi
2588:doi
2306:of
2214:by
2204:by
2195:.)
2191:by
2176:Her
2161:by
1966:'s
1863:NYU
1861:at
1638:IBM
1137:or
1015:'s
961:AGI
594:".
576:ID3
546:In
473:.
405:of
195:Art
11561::
9041:.
9017:.
9007:.
8995:30
8993:.
8989:.
8940:.
8932:.
8922:.
8910:.
8906:.
8859:.
8847:33
8845:.
8841:.
8816:,
8806:,
8794:,
8764:.
8738:.
8730:.
8728:20
8726:.
8722:.
8695:.
8687:.
8645:.
8594:.
8590:.
8518:.
8510:.
8502:.
8492:32
8490:.
8486:.
8463:.
8410:25
8408:.
8404:.
8351:.
8287:.
8279:.
8265:.
8261:.
8235:.
8227:.
8223:.
8200:.
8192:.
8178:.
8174:.
8149:.
8145:.
8119:.
8115:.
8090:.
8086:.
8060:.
8056:.
8034:.
7995:.
7987:.
7923:.
7919:.
7897:.
7887:.
7879:.
7869:28
7867:.
7863:.
7837:.
7833:.
7795:β
7707:.
7678:.
7653:.
7649:.
7624:.
7612:.
7583:.
7542:.
7488:.
7463:.
7455:.
7447:.
7437:74
7435:.
7431:.
7404:.
7400:.
7377:.
7367:.
7359:.
7349:26
7347:.
7343:.
7318:.
7304:.
7300:.
7275:,
7265:,
7253:,
7227:.
7219:.
7211:.
7201:07
7199:.
7195:.
7172:.
7111:.
7103:.
7095:.
7085:.
7073:.
7069:.
6977:.
6973:.
6961:^
6945:.
6918:.
6908:.
6887:^
6870:.
6845:.
6841:.
6815:.
6811:.
6799:^
6778:.
6751:.
6725:.
6721:.
6698:.
6690:.
6680:15
6678:.
6652:.
6644:.
6636:.
6628:.
6618:35
6616:.
6612:.
6570:.
6520:^
6468:.
6460:.
6450:21
6448:.
6444:.
6418:.
6414:.
6385:.
6360:.
6356:.
6334:.
6324:.
6312:.
6308:.
6283:,
6275:,
6265:,
6253:,
6227:.
6223:.
6193:.
6164:.
6138:.
6134:.
6104:.
6100:.
6067:^
6053:.
6043:62
6041:.
6013:^
5954:^
5921:.
5892:.
5884:.
5872:.
5868:.
5818:.
5804:.
5798:.
5772:.
5764:.
5750:.
5725:.
5717:.
5709:.
5699:42
5697:.
5693:.
5670:.
5633:.
5629:.
5573:.
5542:.
5518:.
5506:32
5504:.
5500:.
5473:.
5461:.
5431:12
5429:.
5425:.
5399:.
5389:.
5381:.
5369:28
5367:.
5363:.
5337:.
5326:^
5309:.
5301:.
5291:.
5283:.
5271:.
5267:.
5237:.
5215:.
5203:12
5201:.
5197:.
5171:.
5167:.
5141:.
5137:.
5111:.
5107:.
5078:.
5046:.
5010:.
4982:.
4978:.
4955:.
4941:.
4939:AI
4937:.
4914:.
4906:.
4896:30
4894:.
4890:.
4845:.
4841:.
4816:.
4789:.
4785:.
4762:.
4754:.
4746:.
4742:.
4714:.
4706:.
4696:.
4668:.
4642:.
4638:.
4613:.
4609:.
4552:.
4548:.
4529:.
4525:.
4502:.
4482:.
4478:.
4457:.
4453:.
4406:.
4396:.
4382:.
4357:.
4343:.
4320:.
4310:.
4302:.
4290:.
4286:.
4261:.
4251:.
4216:.
4173:^
4159:.
4147:10
4145:.
4141:.
4118:.
4108:.
4100:.
4086:.
4082:.
4059:.
4049:.
4041:.
4031:20
4029:.
4025:.
4002:.
3988:.
3984:.
3959:,
3949:,
3937:,
3925:^
3908:.
3900:.
3890:.
3882:.
3870:.
3866:.
3843:.
3833:.
3829:.
3785:.
3777:.
3765:67
3763:.
3740:.
3732:.
3722:.
3710:37
3708:.
3704:.
3678:.
3653:.
3649:.
3623:.
3619:.
3565:.
3561:.
3535:.
3531:.
3506:.
3502:.
3477:.
3473:.
3447:.
3437:.
3423:.
3397:.
3393:.
3371:.
3359:14
3357:.
3353:.
3323:.
3298:.
3290:.
3280:10
3278:.
3274:.
3251:.
3241:.
3231:.
3219:.
3215:.
3185:.
3181:.
3155:.
3151:.
3125:.
3121:.
3091:.
3066:.
3062:.
3039:.
3029:.
3025:.
3021:.
2998:.
2990:.
2976:.
2960:^
2889:.
2860:.
2856:.
2852:.
2841:,
2817:.
2787:.
2783:.
2757:.
2753:.
2727:.
2704:.
2696:.
2682:.
2678:.
2666:^
2656:.
2652:.
2629:.
2619:28
2617:.
2594:.
2584:21
2582:.
2557:.
2553:.
2526:.
2507:.
2503:.
2491:^
2165:.
2119:;
1978:,
1955:.
1943::
1809:,
1805:,
1801:,
1797:,
1793:,
1789:,
1785:,
1781:,
1636:,
1632:,
1628:,
1606:,
1602:,
1598:,
1594:,
1582:.
1528:,
1512:A
1168:.
1149:.
1071:.
1061:EU
1059:,
1057:UN
1055:,
1027:.
1013:EU
943:.
915:.
907:,
863:,
859:,
855:,
770:,
643:,
639:,
625:.
550:,
521:.
510:,
506:,
453:,
441:,
425:,
421:,
417:,
413:,
10703:e
10696:t
10689:v
10286:e
10279:t
10272:v
9079:e
9072:t
9065:v
9051:.
9025:.
9011::
9001::
8948:.
8926::
8918::
8867:.
8853::
8802::
8779:.
8750:.
8707:.
8660:.
8605:.
8575:.
8529:.
8498::
8448:.
8422:.
8416::
8389:.
8362:.
8295:.
8283::
8273::
8267:1
8246:.
8208:.
8186::
8160:.
8130:.
8101:.
8071:.
8042:.
8007:.
7960:.
7935:.
7905:.
7875::
7848:.
7819:.
7813::
7772:.
7747:.
7722:.
7693:.
7664:.
7635:.
7598:.
7553:.
7528:.
7503:.
7474:.
7443::
7416:.
7385:.
7355::
7328:.
7322::
7312::
7306:3
7261::
7238:.
7207::
7180:.
7122:.
7089::
7081::
7054:.
6989:.
6955:.
6930:.
6881:.
6856:.
6826:.
6793:.
6764:.
6736:.
6706:.
6686::
6663:.
6632::
6624::
6578:.
6476:.
6456::
6429:.
6400:.
6371:.
6342:.
6328::
6320::
6261::
6238:.
6208:.
6179:.
6150:.
6116:.
6085:.
6079::
6061:.
6049::
5983:.
5948:.
5925:.
5903:.
5880::
5874:2
5850:.
5844::
5826:.
5812::
5806:8
5780:.
5768::
5758::
5752:7
5733:.
5713::
5705::
5678:.
5645:.
5614:.
5589:.
5558:.
5528:.
5522::
5512::
5485:.
5469::
5443:.
5437::
5407:.
5375::
5348:.
5320:.
5279::
5273:3
5252:.
5223:.
5209::
5182:.
5152:.
5122:.
5093:.
5064:.
5028:.
4993:.
4963:.
4949::
4943:4
4922:.
4902::
4856:.
4826:.
4801:.
4770:.
4750::
4728:.
4726:.
4692::
4672:.
4653:.
4624:.
4564:.
4438:.
4432::
4417:.
4400::
4390::
4367:.
4361::
4351::
4328:.
4298::
4292:8
4271:.
4255::
4245::
4226:.
4210::
4191:.
4185::
4167:.
4153::
4126:.
4094::
4088:3
4067:.
4037::
4010:.
3996::
3945::
3919:.
3878::
3872:8
3851:.
3837::
3814:.
3808::
3793:.
3789::
3781::
3771::
3748:.
3726::
3716::
3689:.
3664:.
3634:.
3604:.
3598::
3579:.
3573::
3567:6
3546:.
3517:.
3488:.
3458:.
3441::
3431::
3408:.
3379:.
3365::
3338:.
3309:.
3286::
3259:.
3235::
3227::
3197:.
3166:.
3136:.
3106:.
3077:.
3047:.
3033::
3027:1
3006:.
2994::
2984::
2978:1
2925:.
2900:.
2874:.
2827:.
2798:.
2768:.
2738:.
2712:.
2690::
2658:6
2637:.
2625::
2602:.
2590::
2567:.
2538:.
1697:.
1407:'
1290:)
635:(
390:e
383:t
376:v
286:/
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
_artificial_intelligence_icon.png){kind=icon}