993:(a left wing Israeli news outlet) stated that to maintain military pressure, and due to political pressure to continue the war, the military would bomb the same places twice. Since then, the integration of AI tools has significantly sped up the selection of targets. In early November, the IDF stated more than 12,000 targets in Gaza had been identified by the target administration division that uses the Gospel. NPR wrote on December 14 that it was unclear how many targets from the Gospel had been acted upon, but that the Israeli military said it was currently striking as many as 250 targets a day. The bombing, too, has intensified to what the December 14 article called an astonishing pace: the Israeli military stated at the time it had struck more than 22,000 targets inside Gaza, at a daily rate more than double that of the 2021 conflict, more than 3,500 of them since the collapse of
1247:, and thoroughly examines and investigates exceptions; that a member of an organized armed group or a direct participant in hostilities is a lawful target under international humanitarian law and the policy of all law-abiding countries; that it "makes various efforts to reduce harm to civilians to the extent feasible in the operational circumstances ruling at the time of the strike"; that it chooses the proper munition in accordance with operational and humanitarian considerations; that aerial munitions without an integrated precision-guide kit are developed militaries' standard weaponry; that onboard aircraft systems used by trained pilots ensure high precision of such weapons; and that the clear majority of munitions it uses are
2190:: I mean one source recalled how, for example, in 2021 and 2014, y'know, they ran out of targets. They had nothing left to bomb. There was nothing but quality to bomb. But there was political pressure to continue the war. There was a need to continue the pressure in Gaza. So one source recalled how in 2014, they would bomb the same places twice. When you have artificial intelligence, when you have automation, when you can create so many targets, often spending, y'know, less than a minute on a target that, at the end of the day, is killing families, y'know? So, so, so that allows you to continue wars, often even for political purposes, it could be, for much longer than you could in the past.
3336:"It was a surprise that the Israelis hit a civilian neighbourhood, people are living normally, they have not fled. We did not flee Bint Jbeil, all residents are still in Bint Jbeil. We hear the bombardment and the shelling but it was still far away, the town was neutral but we were surprised that a civilian neighbourhood was hit, civilians, a groom who came from Australia to take his bride. They were spending time together along with his brother at his brother’s house, really it was a surprise for us."
3016:
claims, the IDF does not use an artificial intelligence system that identifies terrorist operatives or tries to predict whether a person is a terrorist. Information systems are merely tools for analysts in the target identification process. According to IDF directives, analysts must conduct independent examinations, in which they verify that the identified targets meet the relevant definitions in accordance with international law and additional restrictions stipulated in the IDF directives.
2496:: "What we're talking about is, a policy of dropping a bomb that weighs two thousand pounds, on a home, in order to assassinate one person, okay? Now, in the past, imagine before artificial intelligence and automation, you would do that, say, for a group of very small senior leaders of Hamas, killing them and knowingly killing everybody around them when you automates that process, when you have a need to strike hundreds and thousands of targets, you can do so in a systematic way..."
6288:
6262:
6312:
3293:
nearby civilians, critical infrastructure in the vicinity, and more. Aerial munitions without an integrated precision-guide kit are standard weaponry in developed militaries worldwide. The IDF uses such munitions while employing onboard aircraft systems to calculate a specific release point to ensure a high level of precision, used by trained pilots. In any event, the clear majority of munitions used in strikes are precision-guided munitions.
6300:
1339:, as saying the war could obsolete these blurred categories and invigorate a stricter regulatory definition, significant human control, which human rights activists including Article 36 have been trying to advocate. She quoted de Roucy-Rochegonde as saying it's not known what kind of algorithm the Israeli army uses, or how the data has been aggregated, which wouldn't be a problem if they didn't lead to a life-or-death decision.
1162:
Information systems are merely one of the types of tools that help analysts gather and optimally analyze intelligence from various sources for the process of identifying military targets, and according to IDF directives, analysts must conduct independent examinations to verify the targets meet the relevant definitions in accordance with international law and the additional restrictions of the IDF directives.
3630:
human control." It's a stricter definition that some human rights activists, including the NGO Article 36, have been pushing for without much success. "The problem is that we don't know what kind of algorithm is being used , or how the data has been aggregated. It wouldn't be a problem if there wasn't a life-or-death decision at the end of it," said de Roucy-Rochegonde.
1158:. It saved a lot of time.” A source who justified the use of Lavender to help identify low-ranking targets said that in wartime there's no time to carefully go through the identification process with every target, and rather than invest manpower and time in a junior militant "you're willing to take the margin of error of using artificial intelligence."
1450:, citing unnamed experts, wrote that "AI-based decision support systems for targeting" would typically "analyse large sets of information from a range of sources, such as drone footage, intercepted communications, surveillance data," and "movements and behaviour patterns of individuals and large groups." NPR cited Blaise Misztal of the
3562:
strike is based on a variety of assessment methods and intelligence-gathering measures, in order to achieve the most accurate assessment possible, considering the relevant operational circumstances. The IDF does not carry out strikes when the expected collateral damage from the strike is excessive in relation to the military advantage.
2584:"Look at the physical landscape of Gaza," said Richard Moyes, a researcher who heads Article 36, a group that campaigns to reduce harm from weapons. "We're seeing the widespread flattening of an urban area with heavy explosive weapons, so to claim there's precision and narrowness of force being exerted is not borne out by the facts."
1134:. The six said Lavender had played a central role in the war, rapidly processing data to identify potential junior operatives to target, at one point listing as many as 37,000 Palestinian men linked by AI to Hamas or PIJ. The details of Lavender's operation or how it comes to its conclusions are not included in accounts published by
1053:
killed in a strike, and according to a senior
Israeli military source, operatives use a "very accurate" measurement of the rate of civilians evacuating a building shortly before a strike. “We use an algorithm to evaluate how many civilians are remaining. It gives us a green, yellow, red, like a traffic signal.”
1376:, but who's responsible if the targeting system fails, and it's impossible to trace the failure to any one mistake by one person? The NPR article went on: "Is it the analyst who accepted the AI recommendation? The programmers who made the system? The intelligence officers who gathered the training data?"
3170:"Because we usually carried out the attacks with dumb bombs, and that meant literally dropping the whole house on its occupants. But even if an attack is averted, you don't care – you immediately move on to the next target. Because of the system, the targets never end. You have another 36,000 waiting."
3501:
Another intelligence officer said that more recently in the conflict, the rate of permitted collateral damage was brought down again. But at one stage earlier in the war they were authorised to kill up to "20 uninvolved civilians" for a single operative, regardless of their rank, military importance,
2871:
Details about the specific kinds of data used to train
Lavender's algorithm, or how the programme reached its conclusions, are not included in the accounts published by +972 or Local Call. However, the sources said that during the first few weeks of the war, Unit 8200 refined Lavender's algorithm and
2111:
The target division was created to address a chronic problem for the IDF: in earlier operations in Gaza, the air force repeatedly ran out of targets to strike. Since senior Hamas officials disappeared into tunnels at the start of any new offensive, sources said, systems such as the Gospel allowed the
1288:
on how this number was over 100 for top-ranking Hamas officials, with one of the sources saying there was a calculation for how many civilians could be killed for a brigade commander, how many for a battalion commander, and so on. One of the officers said that for junior militants, this number was 15
1033:
as asserting the system is being used to manufacture targets so that
Israeli military forces can continue to bombard Gaza at an enormous rate, punishing the general Palestinian population. NPR noted it had not verified this; it was unclear how many targets are being generated by AI alone; but there'd
901:
would bomb. It automatically provides a targeting recommendation to a human analyst, who decides whether to pass it along to soldiers in the field. The recommendations can be anything from individual fighters, rocket launchers, Hamas command posts, to private homes of suspected Hamas or
Islamic Jihad
3675:
Finally, Khlaaf points out that the use of AI could make it more difficult to pursue accountability for those involved in the conflict. Although humans still retain the legal culpability for strikes, it's unclear who is responsible if the targeting system fails. Is it the analyst who accepted the AI
3497:
One source said that the limit on permitted civilian casualties "went up and down" over time, and at one point was as low as five. During the first week of the conflict, the source said, permission was given to kill 15 non-combatants to take out junior militants in Gaza. However, they said estimates
2909:
In earlier military operations conducted by the IDF, producing human targets was often a more labour-intensive process. Multiple sources who described target development in previous wars to the
Guardian, said the decision to "incriminate" an individual, or identify them as a legitimate target, would
2879:
Lavender created a database of tens of thousands of individuals who were marked as predominantly low-ranking members of Hamas's military wing, they added. This was used alongside another AI-based decision support system, called the Gospel, which recommended buildings and structures as targets rather
2710:
Misztal's group documented one of the first trials of the Gospel, during a 2021 conflict in Gaza between Israel and the militant groups Hamas and
Islamic Jihad. According to press reports and statements from the military itself, Israel used the Gospel and other AI programs to identify likely targets
2024:
Technology does not change this fundamental truth. Often social categories and concepts are not objective, but are contested or specific to time and place. But computer vision together with algorithms are more effective in predictable environments where concepts are objective, reasonably stable, and
1225:
as saying
Palestinian men linked to Hamas's military wing were considered potential targets regardless of rank or importance, and low-ranking Hamas and PLJ members would be preferentially targeted at home, with one saying the system was built to look for them in these situations when attacking would
1149:
wrote that in previous wars identifying someone as a legitimate target would be discussed and then signed off by a legal adviser, and that, after 7 October, the process was dramatically accelerated, there was pressure for more targets, and to meet the demand, the IDF came to rely heavily on
Lavender
1090:
The Gospel is used by the military's target administration division (or
Directorate of Targets or Targeting Directorate), which was formed in 2019 in the IDF's intelligence directorate to address the air force running out of targets to bomb, and which Kohavi described as "powered by AI capabilities"
943:
Regarding the suitability of AIs for the task, NPR cited Heidy Khlaaf, engineering director of AI Assurance at the technology security firm Trail of Bits, as saying "AI algorithms are notoriously flawed with high error rates observed across applications that require precision, accuracy, and safety."
3327:
Local media in
Lebanon says an Israeli war plane fired a missile at a number of homes in Lebanon's Bint Jbei area. A missile strike killed 27-year-old Ibraham Bazzi, his brother Ali Bazzi and Ibrahim's wife Shorouk Hammond. Ms Hammoud had recently acquired an Australian visa and she and her husband
3163:
Two sources said that during the early weeks of the war they were permitted to kill 15 or 20 civilians during airstrikes on low-ranking militants. Attacks on such targets were typically carried out using unguided munitions known as "dumb bombs", the sources said, destroying entire homes and killing
3099:
In the weeks after the Hamas-led 7 October assault on southern Israel, in which Palestinian militants killed nearly 1,200 Israelis and kidnapped about 240 people, the sources said there was a decision to treat Palestinian men linked to Hamas's military wing as potential targets, regardless of their
1300:
for each target, that such assessments are made individually, not categorically, that the EDF doesn't carry out strikes when the collateral damage is excessive relative to the military advantage, and that the IDF outright rejects the claim regarding any policy to kill tens of thousands of people in
1052:
wrote that when a strike was authorized on private homes of those identified as Hamas or Islamic Jihad operatives, target researchers knew in advance the expected number of civilians killed, each target had a file containing a collateral damage score stipulating how many civilians were likely to be
1037:
In principle, the combination of a computer's speed to identify opportunities and a human's judgment to evaluate them can enable more precise attacks and fewer civilian casualties. Israeli military and media have emphasized the minimized harm to non-combatants. Richard Moyes, researcher and head of
1004:
Once a recommendation is accepted another AI, Fire Factory, cuts assembling the attack down from hours to minutes by calculating munition loads, prioritizing and assigning targets to aircraft and drones, and proposing a schedule, according to a pre-war Bloomberg article that described such AI tools
3292:
In this regard, the IDF reviews targets before strikes and chooses the proper munition in accordance with operational and humanitarian considerations, taking into account an assessment of the relevant structural and geographical features of the target, the target's environment, possible effects on
3015:
The process of identifying military targets in the IDF consists of various types of tools and methods, including information management tools, which are used in order to help the intelligence analysts to gather and optimally analyze the intelligence, obtained from a variety of sources. Contrary to
2672:
According to Kochavi, "once this machine was activated" in Israel's 11-day war with Hamas in May 2021 it generated 100 targets a day. "To put that into perspective, in the past we would produce 50 targets in Gaza per year. Now, this machine produces 100 targets a single day, with 50% of them being
2424:
In recent months, Israel has been issuing near-daily warnings to Iran over its uranium enrichment, vowing it will not allow the country to obtain nuclear weapons under any circumstances. Should the two enter into a military confrontation, the IDF anticipates that Iranian proxies in Gaza, Syria and
1948:
Although it's not known exactly what data the Gospel uses to make its suggestions, it likely comes from a wide variety of different sources. The list includes things like cell phone messages, satellite imagery, drone footage and even seismic sensors, according to Blaise Misztal, vice president for
1165:
The statement went on to say the "system" in question is not a system, nor a list of confirmed military operatives eligible to attack, only a database to cross-reference intelligence sources in order to produce up-to-date layers of information on the military operatives of terrorist organizations.
865:
These tools include the Gospel, an AI which automatically reviews surveillance data looking for buildings, equipment and people thought to belong to the enemy, and upon finding them, recommends bombing targets to a human analyst who may then decide whether to pass it along to the field. Another is
3671:
Mimran adds that, under pressure, analysts will be more likely to accept the AI's targeting recommendations, regardless of whether they are correct. Targeting officers may be tempted to think that "life will be much easier if we flow with the machine and accept its advice and recommendations," he
3531:
Experts in international humanitarian law who spoke to the Guardian expressed alarm at accounts of the IDF accepting and pre-authorising collateral damage ratios as high as 20 civilians, particularly for lower-ranking militants. They said militaries must assess proportionality for each individual
3133:
When it came to targeting low-ranking Hamas and PIJ suspects, they said, the preference was to attack when they were believed to be at home. "We were not interested in killing operatives only when they were in a military building or engaged in a military activity," one said. "It's much easier to
2841:
Their accounts were shared exclusively with the Guardian in advance of publication. All six said that Lavender had played a central role in the war, processing masses of data to rapidly identify potential "junior" operatives to target. Four of the sources said that, at one stage early in the war,
2353:
NPR has not independently verified those claims, and it's unclear how many targets are currently being generated by AI alone. But there has been a substantial increase in targeting, according to the Israeli military's own numbers. In the 2021 conflict, Israel said it struck 1,500 targets in Gaza,
2309:
The pace is astonishing: In the wake of the brutal attacks by Hamas-led militants on October 7, Israeli forces have struck more than 22,000 targets inside Gaza, a small strip of land along the Mediterranean coast. Just since the temporary truce broke down on December 1, Israel's Air Force has hit
2064:
The Israeli military did not respond directly to NPR's inquiries about the Gospel. In the November 2 post, it said the system allows the military to "produce targets for precise attacks on infrastructures associated with Hamas, while causing great damage to the enemy and minimal harm to those not
1878:
The secret to machine learning is generalization. The goal is to generalize the output function so that it works on data beyond the training set. For example, consider a spam filter. Your dictionary contains 100,000 words (actually a small dictionary). A limited training dataset of 4,000 or 5,000
1707:
Militaries and soldiers frame their decision-making through what is called the "OODA loop" (for observe, orient, decide, act). A faster OODA loop can help you outmanoeuvre your enemy. The goal is to avoid slowing down decisions through excessive deliberation, and instead to match the accelerating
3629:
Laure de Roucy-Rochegonde, also a researcher at IFRI and the author of a thesis on the regulation of autonomous weapons systems, said the specifics of the war between Israel and Hamas could render these blurred categories obsolete and reinvigorate another regulatory concept, that of "significant
3625:
Automated weapons today fall into two main categories: Fully-automated lethal weapons systems, of which there are no real examples on the market, and lethal autonomous weapons (LAWs), which in principle allow humans to have control. The vast majority of Western military powers – and Israel, with
3561:
For each target, IDF procedures require conducting an individual assessment of the anticipated military advantage and collateral damage expected. Such assessments are not made categorically in relation to the approval of individual strikes. The assessment of the collateral damage expected from a
3489:
Such a strategy risked higher numbers of civilian casualties, and the sources said the IDF imposed pre-authorised limits on the number of civilians it deemed acceptable to kill in a strike aimed at a single Hamas militant. The ratio was said to have changed over time, and varied according to the
2458:
Though the military won't comment on specific operations, officials say that it now uses an AI recommendation system that can crunch huge amounts of data to select targets for air strikes. Ensuing raids can then be rapidly assembled with another artificial intelligence model called Fire Factory,
1913:
Precisely what forms of data are ingested into the Gospel is not known. But experts said AI-based decision support systems for targeting would typically analyse large sets of information from a range of sources, such as drone footage, intercepted communications, surveillance data and information
1363:
who's previously worked with the government on targeting, added that pressure will make analysts more likely to accept the AI's targeting recommendations, whether they are correct, and they may be tempted to make life easier for themselves by going along with the machine's recommendations, which
1065:
it generated 100 targets a day, with half of them being attacked, in contrast with 50 targets in Gaza per year beforehand. Approximately 200 targets came from the Gospel out of the 1,500 targets Israel struck in Gaza in the war, including both static and moving targets according to the military.
3229:
Contrary to Hamas, the IDF is committed to international law and acts accordingly. As such, the IDF directs its strikes only towards military targets and military operatives and carries out strikes in accordance with the rules of proportionality and precautions in attacks. Exceptional incidents
2580:
A former senior Israeli military source told the Guardian that operatives use a "very accurate" measurement of the rate of civilians evacuating a building shortly before a strike. "We use an algorithm to evaluate how many civilians are remaining. It gives us a green, yellow, red, like a traffic
2391:
Israel's military has made no secret of the intensity of its bombardment of the Gaza Strip. In the early days of the offensive, the head of its air force spoke of relentless, "around the clock" airstrikes. His forces, he said, were only striking military targets, but he added: "We are not being
3019:
The "system" your questions refer to is not a system, but simply a database whose purpose is to cross-reference intelligence sources, in order to produce up-to-date layers of information on the military operatives of terrorist organizations. This is not a list of confirmed military operatives
1549:
The Gospel is actually one of several AI programs being used by Israeli intelligence, according to Tal Mimran, a lecturer at Hebrew University in Jerusalem who has worked for the Israeli government on targeting during previous military operations. Other AI systems aggregate vast quantities of
2017:
Some claim machine learning enables greater precision in targeting, which makes it easier to avoid harming innocent people and using a proportional amount of force. However, the idea of more precise targeting of airstrikes has not been successful in the past, as the high toll of declared and
1589:
A brief blog post by the Israeli military on November 2 lays out how the Gospel is being used in the current conflict. According to the post, the military's Directorate of Targets is using the Gospel to rapidly produce targets based on the latest intelligence. The system provides a targeting
1018:
at the start of an offensive, systems such as the Gospel have allowed the IDF to locate and attack a much larger pool of more junior Hamas operatives. It cited an official who worked on targeting decisions in previous Gaza operations as saying that while the homes of junior Hamas members had
3259:
According to international humanitarian law, a person who is identified as a member of an organized armed group (like the Hamas' military wing), or a person who directly participates in hostilities, is considered a lawful target. This legal rule is reflected in the policy of all law-abiding
2115:
One official, who worked on targeting decisions in previous Gaza operations, said the IDF had not previously targeted the homes of junior Hamas members for bombings. They said they believed that had changed for the present conflict, with the houses of suspected Hamas operatives now targeted
1161:
The IDF issued a statement that some of the claims portrayed are baseless while others reflect a flawed understanding of IDF directives and international law, and that the IDF does not use an AI system that identifies terrorist operatives or tries to predict whether a person is a terrorist.
2428:
AI-based tools like Fire Factory are tailored for such a scenario, according to IDF officials. "What used to take hours now takes minutes, with a few more minutes for human review," said Col. Uri, who heads the army's digital transformation unit "With the same amount of people, we do much
1358:
Suchman observed that the huge volume of targets is likely putting pressure on the human reviewers, saying that "in the face of this kind of acceleration, those reviews become more and more constrained in terms of what kind of judgment people can actually exercise." Tal Mimran, lecturer at
3011:
Some of the claims portrayed in your questions are baseless in fact, while others reflect a flawed understanding of IDF directives and international law. Following the murderous attack by the Hamas terror organization on October 7, the IDF has been operating to dismantle Hamas' military
3167:"You don't want to waste expensive bombs on unimportant people – it's very expensive for the country and there's a shortage ," one intelligence officer said. Another said the principal question they were faced with was whether the "collateral damage" to civilians allowed for an attack.
1631:
Multiple sources familiar with the IDF's targeting processes confirmed the existence of the Gospel to +972/Local Call, saying it had been used to produce automated recommendations for attacking targets, such as the private homes of individuals suspected of being Hamas or Islamic Jihad
3066:
Moyes, of Article 36, said that when relying on tools such as the Gospel, a commander "is handed a list of targets a computer has generated" and they "don't necessarily know how the list has been created or have the ability to adequately interrogate and question the targeting
2829:
The testimony from the six intelligence officers, all who have been involved in using AI systems to identify Hamas and Palestinian Islamic Jihad (PIJ) targets in the war, was given to the journalist Yuval Abraham for a report published by the Israeli-Palestinian publication
2975:
Another source, who justified the use of Lavender to help identify low-ranking targets, said that "when it comes to a junior militant, you don't want to invest manpower and time in it". They said that in wartime there was insufficient time to carefully "incriminate every
2349:
A report by the Israeli publication +972 Magazine and the Hebrew-language outlet Local Call asserts that the system is being used to manufacture targets so that Israeli military forces can continue to bombard Gaza at an enormous rate, punishing the general Palestinian
1312:
cited Moyes as saying a commander who's handed a computer-generated list of targets may not know how the list was generated or be able to question the targeting recommendations, and is in danger of losing the ability to meaningfully consider the risk of civilian harm.
3667:
The huge volume of targets is also likely putting pressure on the humans asked to review them, says Suchman. "In the face of this kind of acceleration, those reviews become more and more constrained in terms of what kind of judgment people can actually exercise," she
3493:
According to +972 and Local Call, the IDF judged it permissible to kill more than 100 civilians in attacks on a top-ranking Hamas officials. "We had a calculation for how many for the brigade commander, how many for a battalion commander, and so on," one source
1142:, but after a sample of the list was found to have a 90% accuracy rate, the IDF approved Lavender's sweeping use for recommending targets. According to the officers it was used alongside the Gospel, which targeted buildings and structures instead of individuals.
1550:
intelligence data and classify it. The final system is the Gospel, which makes a targeting recommendation to a human analyst. Those targets could be anything from individual fighters, to equipment like rocket launchers, or facilities such as Hamas command posts.
2269:
In recent years, the target division has helped the IDF build a database of what sources said was between 30,000 and 40,000 suspected militants. Systems such as the Gospel, they said, had played a critical role in building lists of individuals authorised to be
2153:: "Now, sources that I've spoken to that have operated the Gospel and have served in that center they said the use of artificial intelligence is being incr- increasing trend in the military because in the past, the military ran out of targets in 2014 and 2021.
3062:
Dr Marta Bo, a researcher at the Stockholm International Peace Research Institute, said that even when "humans are in the loop" there is a risk they develop "automation bias" and "over-rely on systems which come to have too much influence over complex human
934:, where an AI is tasked with identifying commonalities in vast amounts of data (e.g. scans of cancerous tissue, photos of a facial expression, surveillance of Hamas members identified by human analysts), then looking for those commonalities in new material.
1388:, said he was “deeply troubled” by reports that Israel used artificial intelligence in its military campaign in Gaza, saying the practice puts civilians at risk and blurs accountability. Speaking about the Lavender system, Marc Owen Jones, a professor at
1404:, stated, "Corporate America Big Tech is actually aligned with many of the Israeli military’s actions. The fact that AI systems are being used indicates there’s a lack of regard by the Israeli state. Everybody knows these AI systems will make mistakes."
3199:
According to conflict experts, if Israel has been using dumb bombs to flatten the homes of thousands of Palestinians who were linked, with the assistance of AI, to militant groups in Gaza, that could help explain the shockingly high death toll in the
1234:
wrote that if Israel has been using dumb bombs to flatten the homes of thousands of Palestinians who were linked with AI assistance to militant groups in Gaza, it could help explain what the newspaper called the shockingly high death toll of the war.
1077:
identified an issue, stating the system had data on what was a target, but lacked data on what wasn't. The system depends entirely on training data, and intel that human analysts had examined and deemed didn't constitute a target had been discarded,
3738:
2913:
In the weeks and months after 7 October, this model for approving strikes on human targets was dramatically accelerated, according to the sources. As the IDF's bombardment of Gaza intensified, they said, commanders demanded a continuous pipeline of
1454:
as saying the data likely comes from a wide variety of sources, including such things as cellphone messages, satellite imagery, drone footage and seismic sensors. The data is aggregated and classified by other AI systems before being fed into the
1023:, characterized this as enabling the systematization of dropping a 2000 lb bomb into a home to kill one person and everybody around them, something that had previously been done to a very small group of senior Hamas leaders. NPR cited a report by
1805:
Machine learning relies on algorithms to analyze huge datasets. Currently, machine learning can't provide the sort of AI that the movies present. Even the best algorithms can't think, feel, present any form of self-awareness, or exercise free
2825:
The Israeli military's bombing campaign in Gaza used a previously undisclosed AI-powered database that at one stage identified 37,000 potential targets based on their apparent links to Hamas, according to intelligence sources involved in the
2795:
According to posts on the Israeli military's website, the Gospel was developed by Israel's signals intelligence branch, known as Unit 8200. The system is relatively new — one of the earliest mentions was a top innovation award that it won in
1095:
wrote it'd helped the IDF build a database of between 30,000 and 40,000 suspected militants in recent years, and that systems such as the Gospel had played a critical role in building lists of individuals authorized to be assassinated.
5432:
720:
948:'s Strategic and Defence Studies Centre wrote AIs are "more effective in predictable environments where concepts are objective, reasonably stable, and internally consistent." She contrasted this with telling the difference between a
1596:
The post states that the targeting division is able to send these targets to the IAF and navy, and directly to ground forces via an app known as "Pillar of Fire," which commanders carry on military-issued smartphones and other
913:, head of the IDF until 2023, stated that the system could produce 100 bombing targets in Gaza a day, with real-time recommendations which ones to attack, where human analysts might produce 50 a year. A lecturer interviewed by
2714:
But it was not without its problems. The after-action report by Misztal's group noted that, while the AI had plenty of training data for what constituted a target, it lacked data on things that human analysts had decided were
5427:
5034:
3129:
The testimonies published by +972 and Local Call may explain how such a western military with such advanced capabilities, with weapons that can conduct highly surgical strikes, has conducted a war with such a vast human
2917:"We were constantly being pressured: 'Bring us more targets.' They really shouted at us," said one intelligence officer. "We were told: now we have to fuck up Hamas, no matter what the cost. Whatever you can, you bomb."
2569:
In the IDF's brief statement about its target division, a senior official said the unit "produces precise attacks on infrastructure associated with Hamas while inflicting great damage to the enemy and minimal harm to
929:
Artificial intelligences, despite the name, are not capable of thought or consciousness. Instead, they are machines developed to automate tasks humans accomplish with intelligence through other means. The Gospel uses
4515:
405:
2711:
such as rocket launchers. The system was used to identify static targets as well as moving targets as they appeared on the battlefield. According to press reports, it identified around 200 targets in the conflict.
2072:"The nature of AI systems is to provide outcomes based on statistical and probabilistic inferences and correlations from historical data, and not any type of reasoning, factual evidence, or 'causation,'" she says.
5411:
3612:
6170:
2875:
After randomly sampling and cross-checking its predictions, the unit concluded Lavender had achieved a 90% accuracy rate, the sources said, leading the IDF to approve its sweeping use as a target recommendation
585:
1335:, which in principle allow human control, and that this division allows Israel to claim the Gospel falls on the side of the more appropriate use of force. She cited Laure de Roucy-Rochegonde, a researcher at
4348:
2068:
But critics question whether the Gospel and other associated AI systems are in fact performing as the military claims. Khlaaf notes that artificial intelligence depends entirely on training data to make its
1846:
Machine learning algorithms learn through data. They learn by seeking patterns in huge piles of data, and their success is contingent on the data's quality and quantity. They make recommendations based on
1396:, a United Nations special rapporteur, stated that if reports about Israel's use of AI were true, then "many Israeli strikes in Gaza would constitute the war crimes of launching disproportionate attacks".
5264:
1708:
tempo of war. So the use of AI is potentially justified on the basis it can interpret and synthesise huge amounts of data, processing it and delivering outputs at rates that far surpass human cognition.
1238:
The IDF's response to the publication of the testimonies said that unlike Hamas, it is committed to international law and only strikes military targets and military operatives, does so in accordance to
3654:
2782:
2697:
2626:
that when a strike was authorised on the private homes of individuals identified as Hamas or Islamic Jihad operatives, target researchers knew in advance the number of civilians expected to be killed.
2336:
2296:
2051:
1935:
1767:
1653:
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3070:"There is a danger," he added, "that as humans come to rely on these systems they become cogs in a mechanised process and lose the ability to consider the risk of civilian harm in a meaningful way."
3289:
As for the manner of carrying out the strikes – the IDF makes various efforts to reduce harm to civilians to the extent feasible in the operational circumstances ruling at the time of the strike.
2979:"So you're willing to take the margin of error of using artificial intelligence, risking collateral damage and civilians dying, and risking attacking by mistake, and to live with it," they added.
2517:
2004:
1830:
1729:
1694:
1289:
on the first week of the war, and at one point was as low as five. Another said it had been as high as 20 uninvolved civilians for one operative, regardless of rank, military importance, or age.
1264:
and Ibrahim Bazzi (27), and Ibrahim's wife Shorouq Hammond. The brothers are both Australian citizens, Ali lived locally but Ibrahim was visiting from Sydney to bring his wife home to Australia.
5488:
4005:
2354:
approximately 200 of which came from the Gospel. Since October 7, the military says it has struck more than 22,000 targets inside Gaza — a daily rate more than double that of the 2021 conflict.
1230:, destroying entire homes and killing everyone there, with one saying you don't want to waste expensive bombs that are in short supply on unimportant people. Citing unnamed conflict experts,
1983:
The system is called the Gospel. And basically, it takes an enormous quantity of surveillance data, crunches it all together and makes recommendations about where the military should strike.
4988:
2266:
However a short statement on the IDF website claimed it was using an AI-based system called Habsora (the Gospel, in English) in the war against Hamas to "produce targets at a fast pace".
5054:
4387:
1593:"This isn't just an automatic system," Misztal emphasizes. "If it thinks it finds something that could be a potential target, that's flagged then for an intelligence analyst to review."
210:
4924:
1413:
1209:
1019:
previously not been targeted for bombing, the official believes the houses of suspected Hamas operatives were now targeted regardless of rank. In the France 24 interview Abraham, of
5465:
1850:
The probabilities are based on pattern-matching. If a person has enough similarities to other people labelled as an enemy combatant, they too may be labelled a combatant themselves.
2425:
Lebanon would retaliate, setting the stage for the first serious multi-front conflict for Israel since a surprise attack by Egypt and Syria 50 years ago sparked the Yom Kippur War.
6228:
4763:
3379:
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2669:
In an interview published before the war, he said it was "a machine that produces vast amounts of data more effectively than any human, and translates it into targets for attack".
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Aviv Kochavi, who served as the head of the IDF until January, has said the target division is "powered by AI capabilities" and includes hundreds of officers and soldiers.
358:
78:
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3604:
4798:
4272:
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which uses data about military-approved targets to calculate munition loads, prioritize and assign thousands of targets to aircraft and drones, and propose a schedule.
42:
5204:
5108:
940:
Recommendations are based on pattern-matching. A person with enough similarities to other people labeled as enemy combatants may be labelled a combatant themselves.
215:
3446:
1879:
word combinations must create a generalized function that can then find spam in the 2^100,000 combinations that the function will see when working with actual data.
1154:
quoted one source: “I would invest 20 seconds for each target at this stage, and do dozens of them every day. I had zero added-value as a human, apart from being a
3574:
3544:
3472:
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3242:
3212:
2994:
2920:
To meet this demand, the IDF came to rely heavily on Lavender to generate a database of individuals judged to have the characteristics of a PIJ or Hamas militant.
4758:
1188:
have criticized the use of such AI systems along ethical and legal lines, arguing that they violate basic principles of international humanitarian law, such as
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Khlaaf went on to point out that such a system's decisions depend entirely on the data it's trained on, and are not based on reasoning, factual evidence or
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1996:
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2021:
Moreover, the difference between a combatant and a civilian is rarely self-evident. Even humans frequently cannot tell who is and is not a combatant.
1451:
1392:
stated, "Let’s be clear: This is an AI-assisted genocide, and going forward, there needs to be a call for a moratorium on the use of AI in the war".
1070:
1949:
policy at the Jewish Institute for National Security of America, a group that facilitates military cooperation between Israel and the United States.
1276:
According to the testimonies, the IDF imposed pre-authorised limits on how many civilians it permitted killing in order to kill one Hamas militant.
6372:
6031:
4946:
4768:
4487:
4392:
4353:
3713:
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882:
114:
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It's well-known in the field that an AI imitating the decisions of humans may imitate their mistakes and prejudices, resulting in what's known as
6332:
5406:
5396:
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5381:
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5138:
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2719:
targets. The Israeli military hadn't collected the target data its analysts had discarded, and as a result the system's training had been biased.
1670:, a former head of the U.S. Defense Intelligence Agency. Using AI to assist with targeting has the potential to give commanders an enormous edge.
317:
2629:
Each target, they said, had a file containing a collateral damage score that stipulated how many civilians were likely to be killed in a strike.
2442:
2408:
6362:
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5049:
4973:
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35:
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1038:
the NGO Article 36, pointed to "the widespread flattening of an urban area with heavy explosive weapons" to question these claims, while
784:
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3038:
2645:
2597:
2548:
2370:
2239:
2203:
2090:
1892:
1610:
1355:
risk "automation bias": overreliance on systems, giving those systems too much influence over decisions that need to be made by humans.
937:
What information the Gospel uses is not known, but it is thought to combine surveillance data from diverse sources in enormous amounts.
6223:
5123:
5010:
5000:
4788:
4104:
997:
on December 1. Early in the offensive the head of the Air Force stated his forces only struck military targets, but added: "We are not
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339:
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28:
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700:
624:
467:
427:
3059:
For some experts who research AI and international humanitarian law, an acceleration of this kind raises a number of concerns.
4377:
4192:
2260:
In early November, the IDF said "more than 12,000" targets in Gaza had been identified by its target administration division.
1871:
1843:
How does the system produce these targets? It does so through probabilistic reasoning offered by machine learning algorithms.
1798:
514:
502:
173:
1240:
5797:
5209:
3826:
2573:
The precision of strikes recommended by the "AI target bank" has been emphasised in multiple reports in Israeli media. The
66:
3626:
Habsora – now claim to have opted for LAWs and can therefore claim to be on the more appropriate side of the use of force.
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105:
71:
1970:
1061:
Kohavi compared the target division using the Gospel to a machine and stated that once the machine was activated in the
4162:
4026:
3799:
2577:
daily newspaper reported that the unit "makes sure as far as possible there will be no harm to non-involved civilians".
811:
300:
178:
131:
3498:
of civilian casualties were imprecise, as it was not possible to know definitively how many people were in a building.
881:
Critics have argued the use of these AI tools puts civilians at risk, blurs accountability, and results in militarily
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3672:
says. But it could create a "whole new level of problems" if the machine is systematically misidentifying targets.
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6337:
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994:
757:
612:
400:
363:
224:
85:
2722:"It's been two years since then, so it's something that, hopefully, they've been able to rectify," Misztal says.
2530:
In principle, machine learning systems may enable more precisely targeted attacks and fewer civilian casualties.
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5708:
4700:
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4287:
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472:
437:
390:
161:
3676:
recommendation? The programmers who made the system? The intelligence officers who gathered the training data?
1331:
wrote that automated weapons are divided into fully automated systems, which aren't really on the market, and
6265:
6180:
5802:
5241:
4695:
4679:
4564:
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3792:
794:
578:
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462:
327:
124:
3260:
countries, including the IDF's legal practice and policy, which did not change during the course of the war.
1268:
claimed Ali as one of their fighters, and also included the civilian family members in a Hezbollah funeral.
6377:
5812:
5323:
5133:
4556:
4472:
4397:
4227:
3591:
The IDF outright rejects the claim regarding any policy to kill tens of thousands of people in their homes.
1389:
544:
373:
6217:
6186:
5214:
4254:
3423:
1226:
be much easier. Two of the sources said attacks on low-ranking militants were typically carried out with
198:
3447:"Military-style funeral held for Australian 'Hezbollah fighter' killed by Israeli air strike in Lebanon"
3353:"Australian man and his brother killed in Lebanon after building hit by Israeli air strike, family says"
2734:
6352:
6347:
6278:
6005:
5867:
5862:
5596:
4824:
4672:
4505:
4239:
2842:
Lavender listed as many as 37,000 Palestinian men who had been linked by the AI system to Hamas or PIL.
1248:
1104:
573:
203:
1590:
recommendation for a human analyst who then decides whether to pass it along to soldiers in the field.
1364:
could create a "whole new level of problems" if the machine is systematically misidentifying targets.
6192:
6158:
5857:
5678:
4814:
4414:
2263:
The activities of the division, formed in 2019 in the IDF's intelligence directorate, are classified.
1332:
1296:
The IDF's response said that IDF procedures require assessing the anticipated military advantage and
875:
855:
5977:
5807:
5143:
4868:
4841:
4641:
4312:
4187:
4177:
1673:"You're going to make decisions faster than your opponent, that's really what it's about," he says.
1418:
487:
477:
452:
5962:
4705:
4217:
1293:
wrote that experts in international humanitarian law who spoke to the newspaper expressed alarm.
1155:
906:
847:
804:
565:
457:
368:
1372:
Khlaaf noted the difficulty of pursuing accountability when AIs are involved. Humans retain the
4956:
4662:
4569:
4234:
4167:
4011:
3871:
821:
432:
243:
6292:
6085:
6070:
5882:
5616:
5611:
5219:
4657:
4604:
4424:
4249:
4182:
4172:
4038:
1666:
Algorithms can sift through mounds of intelligence data far faster than human analysts, says
1150:
for a database of individuals judged to have the characteristics of a PIJ or Hamas militant.
595:
482:
378:
236:
136:
6126:
5967:
5459:
5358:
4109:
3815:
1914:
drawn from monitoring the movements and behaviour patterns of individuals and large groups.
1667:
1043:
918:
843:
839:
422:
183:
166:
52:
1029:
8:
5284:
4929:
4434:
4419:
4409:
4048:
1074:
151:
1385:
1326:
897:
Israel uses an AI system dubbed "Habsora", "the Gospel", to determine which targets the
6148:
5892:
5767:
5663:
5535:
4968:
4858:
4043:
3949:
3913:
3881:
3647:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
3575:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
3545:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
3473:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
3398:
3273:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
3243:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
3213:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
2995:"Israel Defence Forces' response to claims about use of 'Lavender' AI database in Gaza"
2775:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
2690:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
2510:"Israel's AI can produce 100 bombing targets a day in Gaza. Is this the future of war?"
2329:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
2289:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
2044:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1997:"Israel's AI can produce 100 bombing targets a day in Gaza. Is this the future of war?"
1963:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1928:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1823:"Israel's AI can produce 100 bombing targets a day in Gaza. Is this the future of war?"
1760:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1722:"Israel's AI can produce 100 bombing targets a day in Gaza. Is this the future of war?"
1687:"Israel's AI can produce 100 bombing targets a day in Gaza. Is this the future of war?"
1646:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1569:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1529:"Israel is using an AI system to find targets in Gaza. Experts say it's just the start"
1189:
283:
253:
156:
141:
90:
2747:
850:
to rapidly and automatically perform much of the process of determining what to bomb.
6164:
5942:
5937:
5741:
5668:
5575:
5428:
Independent International Commission of Inquiry on the Occupied Palestinian Territory
5313:
4983:
4834:
3903:
3898:
1867:
1794:
1397:
1352:
1297:
1244:
1197:
898:
859:
826:
666:
552:
268:
263:
146:
6316:
5957:
5912:
5897:
5847:
5827:
5792:
5328:
5044:
3990:
3954:
2574:
1465:
1079:
931:
705:
95:
6106:
6000:
5952:
5932:
5887:
5723:
5658:
4863:
4615:
4053:
3918:
3893:
3876:
1091:
and including hundreds of officers of soldiers. In addition to its wartime role,
998:
960:
273:
258:
248:
193:
3689:"UN chief 'deeply troubled' by reports Israel using AI to identify Gaza targets"
3380:"Australian killed in Lebanon strike was Hezbollah fighter, militant group says"
3134:
bomb a family's home. The system is built to look for them in these situations."
6246:
6240:
6210:
6153:
6111:
6015:
5995:
5877:
5872:
5817:
5777:
5746:
5693:
5653:
5560:
5353:
4530:
4292:
3995:
3959:
3339:
1428:
989:
521:
395:
100:
4349:
Destruction of cultural heritage during the Israeli invasion of the Gaza Strip
3516:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
3184:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
3148:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
3114:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
3084:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
2960:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
2934:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
2894:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
2856:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
2810:"'The machine did it coldly': Israel used AI to identify 37,000 Hamas targets"
6326:
6304:
6175:
5822:
5772:
5718:
5683:
5673:
5621:
5606:
5601:
5550:
5540:
5530:
4636:
4358:
3908:
3739:"'AI-assisted genocide': Israel reportedly used database for Gaza kill lists"
3714:"'AI-assisted genocide': Israel reportedly used database for Gaza kill lists"
1962:
1423:
1227:
1046:, described the bombing as "aimed at maximum devastation of the Gaza Strip".
984:
972:
953:
507:
278:
6171:
Attacks on U.S. bases in Iraq, Jordan, and Syria during the Israel–Hamas war
6116:
6065:
5947:
5907:
5902:
5842:
5837:
5832:
5782:
5698:
5626:
5545:
3964:
3923:
3886:
1039:
1010:
293:
288:
1034:
been a substantial increase in targeting, with an enormous civilian toll.
6203:
6080:
5852:
5713:
5703:
5688:
5591:
5570:
5555:
4721:
1373:
1254:
Family homes were also hit in Southern Lebanon, in a residential area of
910:
188:
1816:
1814:
1082:. The vice president expressed his hopes this had since been rectified.
6197:
6121:
6090:
6075:
5972:
1255:
557:
5028:
United States complicity in Israeli war crimes in the Israel–Hamas war
2112:
IDF to locate and attack a much larger pool of more junior operatives.
1988:
6010:
5015:
2735:
https://jinsa.org/wp-content/uploads/2021/10/Gaza-Assessment.v8-1.pdf
1811:
1271:
1265:
1100:
980:
949:
3039:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2748:"IDF possesses Matrix-like capabilities, ex-Israeli army chief says"
2646:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2598:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2549:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2371:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2240:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2204:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
2091:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
1893:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
1611:"'The Gospel': how Israel uses AI to select bombing targets in Gaza"
5565:
3784:
3605:"Israel's use of AI in bombings raises questions over rules of war"
2473:"Understanding how Israel uses 'Gospel' AI system in Gaza bombings"
2167:"Understanding how Israel uses 'Gospel' AI system in Gaza bombings"
2130:"Understanding how Israel uses 'Gospel' AI system in Gaza bombings"
2018:
undeclared civilian casualties from the global war on terror shows.
1491:"Understanding how Israel uses 'Gospel' AI system in Gaza bombings"
1393:
1119:
870:" which lists tens of thousands of Palestinian men linked by AI to
867:
20:
2989:
2987:
1414:
Intelligence, surveillance, target acquisition, and reconnaissance
1210:
The killing of the wife, daughter, and infant son of Mohammed Deif
1005:
as tailored for a military confrontation and proxy war with Iran.
6229:
Palestinian sports during the Israeli invasion of the Gaza Strip
2443:"Israel Quietly Embeds AI Systems in Deadly Military Operations"
2409:"Israel Quietly Embeds AI Systems in Deadly Military Operations"
3037:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2984:
2644:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2596:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2547:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2369:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2238:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2202:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
2089:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
1891:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
1609:
Davies, Harry; McKernan, Bethan; Sabbagh, Dan (December 2023).
1122:, according to six intelligence officers' testimonies given to
851:
16:
Use of AI by the Israel Defense Forces in the Israel–Hamas war
2801:
917:
estimated these figures as 50–100 targets in 300 days for 20
871:
2542:
2540:
2538:
3764:"Big Tech 'basically complicit' in civilian deaths in Gaza"
3312:"Australian man, his wife and brother killed in air strike"
1401:
2402:
2400:
1217:
cited the intelligence officers' testimonies published by
6235:
Options for a policy regarding Gaza's civilian population
3305:
3303:
3301:
2535:
914:
3265:
1014:
noted is that since senior Hamas leaders disappear into
5490:
Defense for Children International – Palestine v. Biden
2397:
4453:
Israeli airstrike on the Iranian consulate in Damascus
3419:"Australian reportedly killed in Lebanon by airstrike"
3298:
6276:
3036:
2643:
2595:
2546:
2368:
2237:
2201:
2088:
1890:
1608:
5467:
Legal Consequences of Israeli Policies and Practices
2910:
be discussed and then signed off by a legal adviser.
2357:
The toll on Palestinian civilians has been enormous.
1678:
921:, and 200 targets within 10–12 days for the Gospel.
878:, and which is also used for target recommendation.
4774:
International recognition of the State of Palestine
3439:
3378:Ireland, Latika Bourke, Olivia (28 December 2023).
2639:
2637:
1176:
War crimes in the Israel–Hamas war § By Israel
3032:
3030:
3028:
2084:
2082:
2080:
1272:Allegations of pre-authorised civilian kill limits
1169:
743:List of journalists killed in the Israel–Hamas war
4807:
4779:Israeli blockade of the Gaza Strip (2023–present)
3345:
3230:undergo thorough examinations and investigations.
1452:Jewish Institute for National Security of America
1071:Jewish Institute for National Security of America
858:, which in previous wars had been limited by the
686:Human shields in the Israeli–Palestinian conflict
6324:
3514:McKernan, Bethan; Davies, Harry (3 April 2024).
3182:McKernan, Bethan; Davies, Harry (3 April 2024).
3146:McKernan, Bethan; Davies, Harry (3 April 2024).
3112:McKernan, Bethan; Davies, Harry (3 April 2024).
3082:McKernan, Bethan; Davies, Harry (3 April 2024).
2958:McKernan, Bethan; Davies, Harry (3 April 2024).
2932:McKernan, Bethan; Davies, Harry (3 April 2024).
2892:McKernan, Bethan; Davies, Harry (3 April 2024).
2854:McKernan, Bethan; Davies, Harry (3 April 2024).
2808:McKernan, Bethan; Davies, Harry (3 April 2024).
2634:
2065:involved," according to an unnamed spokesperson.
1349:Stockholm International Peace Research Institute
586:Attacks on U.S. bases in Iraq, Syria, and Jordan
5275:March for the Republic and Against Antisemitism
5139:Proposed Israeli resettlement of the Gaza Strip
4847:Casualties of Israeli attacks on the Gaza Strip
3025:
2233:
2231:
2229:
2121:
2077:
1861:
1788:
1522:
1520:
1518:
1516:
1337:Institut français des relations internationales
1203:
3513:
3181:
3145:
3111:
3081:
2957:
2931:
2891:
2853:
2807:
2158:
1866:. Hoboken, New Jersey: John Wiley & Sons.
1793:. Hoboken, New Jersey: John Wiley & Sons.
1562:
1560:
1558:
738:Killing of journalists in the Israel–Hamas war
5433:War crimes and crimes against humanity report
3991:Allegations of involvement of UNRWA employees
3800:
3640:
3638:
2037:
2035:
2033:
1753:
1751:
1749:
1747:
721:War crimes and crimes against humanity report
36:
6032:Children in the Israeli–Palestinian conflict
5334:National March on Washington: Free Palestine
4354:Environmental impact of the Israel–Hamas war
3403:: CS1 maint: multiple names: authors list (
2226:
1513:
971:The IAF ran out of targets to strike in the
5230:2024 University of Texas at Austin stabbing
5060:Israeli torture in the occupied territories
4732:Alon Shamriz, Yotam Haim, and Samer Talalka
3411:
3371:
2322:
2320:
2318:
1862:Mueller, John Paul; Massaron, Luca (2016).
1789:Mueller, John Paul; Massaron, Luca (2016).
1555:
924:
6224:Israeli demolition of Palestinian property
3807:
3793:
3635:
3328:Ibrahim were planning a life in Australia.
2683:
2681:
2507:
2282:
2280:
2278:
2030:
1994:
1820:
1744:
1719:
1684:
43:
29:
6383:Israeli–Palestinian conflict legal issues
1637:
1304:
963:, but solely on statistical probability.
956:, which even humans frequently can't do.
5097:September 2024 Israel ceasefire protests
5077:
4273:Airstrikes on municipal services in Gaza
2315:
909:far faster than humans. Retired Lt Gen.
308:Bombing of the Gaza Strip (2023–present)
6373:Applications of artificial intelligence
4308:World Central Kitchen aid convoy attack
3377:
2678:
2618:Multiple sources told the Guardian and
2275:
1180:Gaza humanitarian crisis (2023–present)
6358:Airstrikes during the Israel–Hamas war
6325:
5055:Cemetery destruction and necroviolence
4789:Queer advocacy in the Israel–Hamas war
2745:
2508:Baggiarini, Bianca (8 December 2023).
2440:
2406:
1995:Baggiarini, Bianca (8 December 2023).
1821:Baggiarini, Bianca (8 December 2023).
1720:Baggiarini, Bianca (8 December 2023).
1685:Baggiarini, Bianca (8 December 2023).
6363:Aerial bombing operations and battles
5065:Proposed Israeli resettlement of Gaza
3788:
3657:from the original on 20 February 2024
3615:from the original on 20 February 2024
3602:
3309:
2785:from the original on 20 February 2024
2700:from the original on 20 February 2024
2520:from the original on 20 February 2024
2483:from the original on 20 February 2024
2339:from the original on 20 February 2024
2299:from the original on 20 February 2024
2177:from the original on 20 February 2024
2140:from the original on 20 February 2024
2054:from the original on 20 February 2024
2007:from the original on 20 February 2024
1973:from the original on 20 February 2024
1938:from the original on 20 February 2024
1833:from the original on 20 February 2024
1770:from the original on 20 February 2024
1732:from the original on 20 February 2024
1697:from the original on 20 February 2024
1656:from the original on 20 February 2024
1579:from the original on 20 February 2024
1539:from the original on 20 February 2024
1501:from the original on 20 February 2024
416:IDF killing of hostages in Shuja'iyya
24:
5210:2023 Nicosia Israeli embassy bombing
5035:Sexual violence against Palestinians
3814:
3644:
3049:from the original on 2 December 2023
2772:
2687:
2656:from the original on 2 December 2023
2608:from the original on 2 December 2023
2559:from the original on 2 December 2023
2381:from the original on 2 December 2023
2326:
2286:
2250:from the original on 2 December 2023
2214:from the original on 2 December 2023
2101:from the original on 2 December 2023
2041:
1925:
1903:from the original on 2 December 2023
1757:
1643:
1621:from the original on 2 December 2023
1566:
1526:
748:Palestinian rocket attacks on Israel
591:Iranian airstrikes in Iraq and Syria
50:
4920:Calls for the destruction of Israel
4611:Hostages and Missing Families Forum
4403:April 2024 Israeli settler rampages
4388:Israeli incursions in the West Bank
4098:Al-Shati and Tuffah dual airstrikes
3603:Elise, Vincent (15 December 2023).
2470:
2164:
2127:
1960:
1488:
1200:between combatants and civilians..
944:Bianca Baggiarini, lecturer at the
211:Israeli incursions in the West Bank
13:
6333:Gaza Strip in the Israel–Hamas war
4820:Background to the Israel–Hamas war
1384:United Nations Secretary-General,
1118:defined Lavender as an AI-powered
301:Israeli invasion of the Gaza Strip
179:Insurgency in the North Gaza Strip
132:Israeli invasion of the Gaza Strip
14:
6394:
5344:Self-immolation of Aaron Bushnell
5124:Arab–Islamic extraordinary summit
4303:Palestinians evacuating Gaza City
1367:
6310:
6298:
6286:
6261:
6260:
5134:Cancellation of the 2023 MTV EMA
4006:Sexual and gender-based violence
3310:Dyett, Greg (28 December 2023).
2441:Newman, Marissa (16 July 2023).
2407:Newman, Marissa (16 July 2023).
1347:Dr. Marta Bo, researcher at the
608:Assassination of Saleh al-Arouri
406:Attack on journalists in Lebanon
5129:Hurmat-e-Masjid Aqsa Conference
5023:Palestinian genocide accusation
4874:Israeli disengagement from Gaza
4830:Palestinian freedom of movement
4478:Assassination of Ismail Haniyeh
4393:2024 Israeli military operation
4298:Kuwait Roundabout mass killings
4213:Al-Ahli Arab Hospital explosion
3756:
3731:
3706:
3681:
3596:
3567:
3537:
3507:
3465:
3235:
3205:
3175:
3139:
3105:
3075:
2951:
2925:
2885:
2847:
2834:and the Hebrew-language outlet
2766:
2739:
2727:
2589:
2501:
2471:Lee, Gavin (12 December 2023).
2464:
2434:
2362:
2195:
2165:Lee, Gavin (12 December 2023).
2128:Lee, Gavin (12 December 2023).
1954:
1919:
1884:
1855:
1489:Lee, Gavin (12 December 2023).
1458:
1441:
1170:Ethical and legal ramifications
1085:
613:Assassination of Ismail Haniyeh
225:2023 Hamas-led attack on Israel
86:2023 Hamas-led attack on Israel
6368:Airstrikes conducted by Israel
4501:September 2024 Lebanon strikes
4120:Nuseirat refugee camp massacre
3970:Israeli female tank crew fight
2872:tweaked its search parameters.
1782:
1713:
1602:
1482:
1361:Hebrew University in Jerusalem
1186:international humanitarian law
946:Australian National University
887:international humanitarian law
812:Qatar and the Israel–Hamas war
601:Al-Asad Airbase missile attack
106:Israeli female tank crew fight
1:
6181:Central Archives of Gaza City
4680:Rescue of Qaid Farhan Al-Qadi
4565:2024 Israeli strikes on Yemen
4552:2024 missile strikes in Yemen
4539:Operation Prosperity Guardian
4511:Assassination of Ibrahim Aqil
4496:2024 Lebanon pager explosions
4430:Israeli incursions in Tulkarm
4318:13 July 2024 al-Mawasi attack
4283:Engineer's Building airstrike
1864:Machine Learning For Dummies®
1791:Machine Learning For Dummies®
1475:
892:
733:Executions and assassinations
579:2024 Israeli strikes on Yemen
527:Operation Prosperity Guardian
5324:March on Washington for Gaza
5006:Violence against journalists
4398:Killing of Benjamin Achimeir
2746:Leshem, Ron (30 June 2023).
1390:Hamad Bin Khalifa University
1379:
1342:
1204:Allegations of bombing homes
1099:The Gospel was developed by
966:
354:Palestinians evacuating Gaza
7:
5215:Killing of Wadea al-Fayoume
5188:Riots in the North Caucasus
4925:Israeli government response
4255:Nasser Hospital mass graves
3424:Australian Financial Review
1407:
1351:, noted that the humans in
1184:Experts in ethics, AI, and
1110:
1056:
1027:and its sister publication
983:, investigative journalist
10:
6399:
4947:Environment impact in Gaza
4886:Palestinian tunnel warfare
4881:Palestinian rocket attacks
4825:Blockade of the Gaza Strip
4764:Effect on children in Gaza
4506:2024 Haret Hreik airstrike
4457:Iranian strikes in Israel
4278:Attacks on religious sites
4240:Kamal Adwan Hospital siege
1207:
1173:
1105:Israeli Intelligence Corps
574:2024 Tel Aviv drone attack
386:Attacks on religious sites
6256:
6193:From the river to the sea
6159:Al Qarara Cultural Museum
6139:
6099:
6058:
6049:
6024:
5986:
5925:
5755:
5732:
5646:
5639:
5584:
5523:
5516:
5507:
5481:
5443:
5420:
5369:
5297:Humanitarian aid blockade
5240:
5175:
5152:
5119:Islamic Summit Conference
4910:
4744:
4714:
4688:
4650:
4624:
4599:Hostage–prisoner exchange
4589:
4529:
4488:Israel–Hezbollah conflict
4486:
4443:
4376:
4344:Bombing of the Gaza Strip
4331:
4265:
4245:Killing of health workers
4201:
4148:
4069:
4025:
3978:
3942:
3864:
3851:
3840:
3822:
3384:The Sydney Morning Herald
1333:lethal autonomous weapons
1145:Citing multiple sources,
885:violence in violation of
876:Palestinian Islamic Jihad
866:Lavender, an "AI-powered
856:bombing of the Gaza Strip
854:has greatly expanded the
540:Operation Poseidon Archer
115:Israel–Hezbollah conflict
62:
5225:Vermont student shooting
5144:2024 Beijing Declaration
4996:Israeli public diplomacy
4869:Israeli settler violence
3490:seniority of the target.
1434:
1419:Lethal autonomous weapon
1042:, professor emeritus at
925:Technological background
862:running out of targets.
696:Israeli public diplomacy
691:Israeli blockade of Gaza
645:Gaza humanitarian crisis
5963:Mushtaq Talib Al-Saeedi
4473:Israeli strikes on Iran
4218:Al-Shifa Hospital siege
3986:Allegations of genocide
3334:(Mayor of Bint Jbeil):
1316:In an opinion piece in
1258:. Killing two brothers
848:artificial intelligence
805:Killing of Aysenur Eygi
753:Wider regional conflict
6343:2024 in the Gaza Strip
6338:2023 in the Gaza Strip
5788:Nahida and Samar Anton
5452:South Africa v. Israel
4957:Gaza Strip evacuations
4784:Israeli interrogations
4516:Attacks on journalists
4235:Gaza Strip mass graves
4135:Deir el-Balah (August)
4012:Screams Before Silence
3934:Psyduck music festival
2310:more than 3,500 sites.
2025:internally consistent.
1305:Limits of human review
822:Gaza Strip mass graves
716:South Africa v. Israel
216:Operation Summer Camps
6086:Inbal Rabin-Lieberman
6071:Rachel Goldberg-Polin
5454:(Genocide Convention)
5220:Death of Paul Kessler
5167:UK support for Israel
5162:US support for Israel
5087:Calls for a ceasefire
4979:Premature baby crisis
4815:Arab–Israeli conflict
4658:Operation Golden Hand
4605:Kidnapped from Israel
4521:Lebanese displacement
4425:Tower 22 drone attack
4339:AI-assisted targeting
4250:Nasser Hospital siege
4140:Al-Mawasi (September)
979:. In an interview on
919:intelligence officers
817:AI-assisted targeting
763:Calls for a ceasefire
596:Tower 22 drone attack
498:Al-Mawasi (September)
364:Al-Ahli Arab Hospital
335:Al-Shati refugee camp
237:Killing of Shani Louk
6127:Mustafa Moien Ayyash
5968:Mohammad Reza Zahedi
5460:Nicaragua v. Germany
5359:2024 Faizabad sit-in
5092:Three-phase proposal
4842:Gaza–Israel conflict
4727:Hersh Goldberg-Polin
4445:Iran–Israel conflict
4415:Givat Shaul shooting
4223:alleged military use
4110:Tel al-Sultan attack
3865:Attacks on civilians
3164:all their occupants.
1044:Lancaster University
844:Israel Defense Force
768:Three-phase proposal
232:Re'im music festival
79:Military engagements
6378:Targeting (warfare)
5763:Tawfic Abdel Jabbar
5285:2023 Bitung clashes
5250:University campuses
5195:Anti-Palestinianism
4974:Healthcare collapse
4964:Humanitarian crisis
4930:Israeli war cabinet
4891:anti-tunnel barrier
4435:2024 Jaffa shooting
4420:Majdal Shams attack
4410:Lehi Street bombing
4313:9 July 2024 attacks
4228:ambulance airstrike
3929:Nova music festival
3100:rank or importance.
3020:eligible to attack.
2116:regardless of rank.
1075:after action report
800:university campuses
780:Anti-Palestinianism
650:Healthcare collapse
453:9 July 2024 attacks
448:Al-Shati and Tuffah
6149:Ahmed Abdel Khalek
5893:Rashad Abu Sakhila
5768:Majed Abu Maraheel
5664:Abdul Fatah Dukhan
5536:Yitzhak Ben-Bashat
4989:Societal breakdown
4969:Gaza floating pier
4859:Israeli settlement
4808:Historical context
4668:Nuseirat operation
4544:Attacks on the MV
4163:Shadia Abu Ghazala
4150:Attacks on schools
3453:. 28 December 2023
3427:. 27 December 2023
3359:. 27 December 2023
1190:military necessity
566:Attacks on the MV
558:Sinking of the MV
532:Attacks on the MV
328:Al-Fakhoora school
6353:Conflicts in 2024
6348:Conflicts in 2023
6274:
6273:
6165:All Eyes on Rafah
6135:
6134:
6045:
6044:
5943:Waibhav Anil Kale
5938:Ali Hussein Barji
5921:
5920:
5863:Yazan al-Kafarneh
5813:David Ben Avraham
5742:Fouad Abu Butihan
5669:Mohammed Dababish
5635:
5634:
5576:Yonatan Steinberg
5503:
5502:
5499:
5498:
5314:Artists4Ceasefire
5205:Violent incidents
5109:University donors
5104:Diplomatic impact
4906:
4905:
4835:Israeli apartheid
4740:
4739:
4585:
4584:
4581:
4580:
4372:
4371:
4205:health facilities
4021:
4020:
3645:Brumfiel, Geoff.
3067:recommendations".
2880:than individuals.
2773:Brumfiel, Geoff.
2688:Brumfiel, Geoff.
2327:Brumfiel, Geoff.
2287:Brumfiel, Geoff.
2042:Brumfiel, Geoff.
1926:Brumfiel, Geoff.
1873:978-1-119-24551-3
1800:978-1-119-24551-3
1758:Brumfiel, Geoff.
1644:Brumfiel, Geoff.
1567:Brumfiel, Geoff.
1527:Brumfiel, Geoff.
1400:, a professor at
1398:Ramesh Srinivasan
1353:human-in-the-loop
1298:collateral damage
1156:stamp of approval
899:Israeli Air Force
860:Israeli Air Force
835:
834:
827:All Eyes on Rafah
679:Prisoner exchange
630:Diplomatic impact
553:Operation Aspides
488:Al-Tabaeen school
473:Khan Yunis (July)
401:Kuwait Roundabout
369:Al-Shifa Hospital
359:Health facilities
167:Shuja'iyya ambush
6390:
6315:
6314:
6313:
6303:
6302:
6301:
6291:
6290:
6289:
6282:
6264:
6263:
6056:
6055:
5958:Sadegh Omidzadeh
5913:Talal Abu Zarifa
5898:Omar Abu Shawish
5848:Ihab al-Ghussein
5828:Mohamed al-Dalou
5803:Mohammed Barakat
5793:Ibrahim al-Astal
5709:Jamila al-Shanti
5644:
5643:
5521:
5520:
5514:
5513:
5412:A/RES/ES-10/L.31
5329:March for Israel
5150:
5149:
5075:
5074:
4805:
4804:
4769:Humanitarian aid
4701:Yarden Roman-Gat
4622:
4621:
4441:
4440:
4125:Al-Mawasi (June)
4067:
4066:
3862:
3861:
3849:
3848:
3816:Israel–Hamas war
3809:
3802:
3795:
3786:
3785:
3779:
3778:
3776:
3774:
3760:
3754:
3753:
3751:
3749:
3735:
3729:
3728:
3726:
3724:
3710:
3704:
3703:
3701:
3700:
3685:
3679:
3678:
3664:
3662:
3642:
3633:
3632:
3622:
3620:
3600:
3594:
3593:
3588:
3586:
3571:
3565:
3564:
3558:
3556:
3541:
3535:
3534:
3528:
3526:
3511:
3505:
3504:
3486:
3484:
3469:
3463:
3462:
3460:
3458:
3443:
3437:
3436:
3434:
3432:
3415:
3409:
3408:
3402:
3394:
3392:
3390:
3375:
3369:
3368:
3366:
3364:
3349:
3343:
3338:(translation by
3330:
3324:
3322:
3307:
3296:
3295:
3286:
3284:
3269:
3263:
3262:
3256:
3254:
3239:
3233:
3232:
3226:
3224:
3209:
3203:
3202:
3196:
3194:
3179:
3173:
3172:
3160:
3158:
3143:
3137:
3136:
3126:
3124:
3109:
3103:
3102:
3096:
3094:
3079:
3073:
3072:
3056:
3054:
3034:
3023:
3022:
3008:
3006:
2991:
2982:
2981:
2972:
2970:
2955:
2949:
2948:
2946:
2944:
2929:
2923:
2922:
2906:
2904:
2889:
2883:
2882:
2868:
2866:
2851:
2845:
2844:
2822:
2820:
2805:
2799:
2798:
2792:
2790:
2770:
2764:
2762:
2760:
2758:
2743:
2737:
2731:
2725:
2724:
2707:
2705:
2685:
2676:
2675:
2663:
2661:
2641:
2632:
2631:
2615:
2613:
2593:
2587:
2586:
2575:Yedioth Ahronoth
2570:non-combatants".
2566:
2564:
2544:
2533:
2532:
2527:
2525:
2514:The Conversation
2505:
2499:
2498:
2490:
2488:
2468:
2462:
2461:
2455:
2453:
2438:
2432:
2431:
2421:
2419:
2404:
2395:
2394:
2388:
2386:
2366:
2360:
2359:
2346:
2344:
2324:
2313:
2312:
2306:
2304:
2284:
2273:
2272:
2257:
2255:
2235:
2224:
2223:
2221:
2219:
2199:
2193:
2192:
2184:
2182:
2162:
2156:
2155:
2147:
2145:
2125:
2119:
2118:
2108:
2106:
2086:
2075:
2074:
2061:
2059:
2039:
2028:
2027:
2014:
2012:
2001:The Conversation
1992:
1986:
1985:
1980:
1978:
1961:Inskeep, Steve.
1958:
1952:
1951:
1945:
1943:
1923:
1917:
1916:
1910:
1908:
1888:
1882:
1881:
1859:
1853:
1852:
1840:
1838:
1827:The Conversation
1818:
1809:
1808:
1786:
1780:
1779:
1777:
1775:
1755:
1742:
1741:
1739:
1737:
1726:The Conversation
1717:
1711:
1710:
1704:
1702:
1691:The Conversation
1682:
1676:
1675:
1663:
1661:
1641:
1635:
1634:
1628:
1626:
1606:
1600:
1599:
1586:
1584:
1564:
1553:
1552:
1546:
1544:
1524:
1511:
1510:
1508:
1506:
1486:
1469:
1466:algorithmic bias
1462:
1456:
1445:
1386:Antonio Guterres
1330:
1263:
1262:
1249:precision-guided
1130:and shared with
1008:One change that
932:machine learning
883:disproportionate
840:Israel–Hamas war
660:Premature babies
463:Al-Mawasi (July)
443:Al-Mawasi (June)
125:Pager explosions
57:
55:
54:Israel–Hamas war
45:
38:
31:
22:
21:
6398:
6397:
6393:
6392:
6391:
6389:
6388:
6387:
6323:
6322:
6321:
6311:
6309:
6299:
6297:
6287:
6285:
6277:
6275:
6270:
6252:
6187:Bearing Witness
6141:
6131:
6107:Wael Al-Dahdouh
6095:
6051:
6041:
6020:
6006:Ismail al-Ghoul
6001:Samer Abu Daqqa
5982:
5953:Wissam al-Tawil
5933:Saleh al-Arouri
5917:
5888:Mohammed Shabir
5868:Mohammad Khdour
5751:
5734:
5728:
5724:Faiq Al-Mabhouh
5659:Saleh al-Arouri
5631:
5597:Yuval Castleman
5580:
5524:Security forces
5495:
5477:
5473:Arrest warrants
5439:
5416:
5365:
5236:
5171:
5148:
5073:
4942:Economic impact
4935:Mass detentions
4902:
4864:Israeli outpost
4803:
4746:
4736:
4710:
4684:
4646:
4620:
4616:Hostages Square
4577:
4570:Attacks on the
4546:Maersk Hangzhou
4525:
4482:
4439:
4379:
4368:
4327:
4261:
4204:
4197:
4144:
4130:Al-Shati (July)
4115:Al-Mawasi (May)
4072:
4065:
4030:
4028:
4017:
3974:
3938:
3856:
3854:
3843:
3836:
3818:
3813:
3783:
3782:
3772:
3770:
3762:
3761:
3757:
3747:
3745:
3737:
3736:
3732:
3722:
3720:
3712:
3711:
3707:
3698:
3696:
3687:
3686:
3682:
3674:
3673:
3670:
3669:
3660:
3658:
3643:
3636:
3628:
3627:
3618:
3616:
3601:
3597:
3584:
3582:
3573:
3572:
3568:
3554:
3552:
3543:
3542:
3538:
3524:
3522:
3512:
3508:
3500:
3499:
3496:
3495:
3492:
3491:
3482:
3480:
3471:
3470:
3466:
3456:
3454:
3445:
3444:
3440:
3430:
3428:
3417:
3416:
3412:
3396:
3395:
3388:
3386:
3376:
3372:
3362:
3360:
3351:
3350:
3346:
3320:
3318:
3308:
3299:
3291:
3290:
3282:
3280:
3271:
3270:
3266:
3252:
3250:
3241:
3240:
3236:
3222:
3220:
3211:
3210:
3206:
3192:
3190:
3180:
3176:
3169:
3168:
3166:
3165:
3156:
3154:
3144:
3140:
3132:
3131:
3122:
3120:
3110:
3106:
3092:
3090:
3080:
3076:
3069:
3068:
3065:
3064:
3061:
3060:
3052:
3050:
3035:
3026:
3018:
3017:
3014:
3013:
3004:
3002:
2993:
2992:
2985:
2978:
2977:
2968:
2966:
2956:
2952:
2942:
2940:
2930:
2926:
2919:
2918:
2916:
2915:
2912:
2911:
2902:
2900:
2890:
2886:
2878:
2877:
2874:
2873:
2864:
2862:
2852:
2848:
2840:
2839:
2828:
2827:
2818:
2816:
2806:
2802:
2788:
2786:
2771:
2767:
2756:
2754:
2744:
2740:
2732:
2728:
2721:
2720:
2713:
2712:
2703:
2701:
2686:
2679:
2671:
2670:
2668:
2667:
2659:
2657:
2642:
2635:
2628:
2627:
2611:
2609:
2594:
2590:
2583:
2582:
2579:
2578:
2572:
2571:
2562:
2560:
2545:
2536:
2523:
2521:
2506:
2502:
2486:
2484:
2469:
2465:
2451:
2449:
2439:
2435:
2427:
2426:
2417:
2415:
2405:
2398:
2384:
2382:
2367:
2363:
2356:
2355:
2352:
2351:
2342:
2340:
2325:
2316:
2302:
2300:
2285:
2276:
2268:
2267:
2265:
2264:
2262:
2261:
2253:
2251:
2236:
2227:
2217:
2215:
2200:
2196:
2180:
2178:
2163:
2159:
2143:
2141:
2126:
2122:
2114:
2113:
2104:
2102:
2087:
2078:
2071:
2070:
2067:
2066:
2057:
2055:
2040:
2031:
2023:
2022:
2020:
2019:
2010:
2008:
1993:
1989:
1976:
1974:
1959:
1955:
1941:
1939:
1924:
1920:
1906:
1904:
1889:
1885:
1874:
1860:
1856:
1849:
1848:
1845:
1844:
1836:
1834:
1819:
1812:
1801:
1787:
1783:
1773:
1771:
1756:
1745:
1735:
1733:
1718:
1714:
1700:
1698:
1683:
1679:
1672:
1671:
1659:
1657:
1642:
1638:
1624:
1622:
1607:
1603:
1595:
1594:
1592:
1591:
1582:
1580:
1565:
1556:
1542:
1540:
1525:
1514:
1504:
1502:
1487:
1483:
1478:
1473:
1472:
1463:
1459:
1446:
1442:
1437:
1410:
1382:
1370:
1345:
1324:
1307:
1274:
1261:Ali Ahmed Bazzi
1260:
1259:
1241:proportionality
1212:
1206:
1194:proportionality
1182:
1172:
1113:
1088:
1063:war of May 2021
1059:
969:
927:
905:AI can process
895:
846:(IDF) has used
838:As part of the
836:
831:
785:Mass detentions
635:Economic impact
534:Maersk Hangzhou
503:Al-Jawni school
468:Al-Shati (July)
433:Al-Sardi school
428:Al-Mawasi (May)
379:Nasser Hospital
194:Rafah offensive
58:
53:
51:
49:
17:
12:
11:
5:
6396:
6386:
6385:
6380:
6375:
6370:
6365:
6360:
6355:
6350:
6345:
6340:
6335:
6320:
6319:
6307:
6295:
6293:Current events
6272:
6271:
6269:
6268:
6257:
6254:
6253:
6251:
6250:
6243:
6241:Project Nimbus
6238:
6231:
6226:
6221:
6214:
6207:
6200:
6195:
6190:
6183:
6178:
6173:
6168:
6161:
6156:
6154:Al-Saqqa House
6151:
6145:
6143:
6137:
6136:
6133:
6132:
6130:
6129:
6124:
6119:
6114:
6112:Plestia Alaqad
6109:
6103:
6101:
6097:
6096:
6094:
6093:
6088:
6083:
6078:
6073:
6068:
6062:
6060:
6053:
6047:
6046:
6043:
6042:
6040:
6039:
6034:
6028:
6026:
6025:General topics
6022:
6021:
6019:
6018:
6016:Belal Jadallah
6013:
6008:
6003:
5998:
5996:Issam Abdallah
5992:
5990:
5984:
5983:
5981:
5980:
5975:
5970:
5965:
5960:
5955:
5950:
5945:
5940:
5935:
5929:
5927:
5923:
5922:
5919:
5918:
5916:
5915:
5910:
5905:
5900:
5895:
5890:
5885:
5880:
5878:Ibrahim Qusaya
5875:
5873:Hani Al-Masdar
5870:
5865:
5860:
5858:Sidra Hassouna
5855:
5850:
5845:
5840:
5835:
5830:
5825:
5820:
5818:Adnan al-Bursh
5815:
5810:
5805:
5800:
5795:
5790:
5785:
5780:
5778:Refaat Alareer
5775:
5770:
5765:
5759:
5757:
5753:
5752:
5750:
5749:
5747:Jihad Shehadeh
5744:
5738:
5736:
5730:
5729:
5727:
5726:
5721:
5716:
5711:
5706:
5701:
5696:
5694:Fursan Khalifa
5691:
5686:
5681:
5679:Ahmed Ghandour
5676:
5671:
5666:
5661:
5656:
5654:Ismail Haniyeh
5650:
5648:
5641:
5637:
5636:
5633:
5632:
5630:
5629:
5624:
5619:
5614:
5609:
5604:
5599:
5594:
5588:
5586:
5582:
5581:
5579:
5578:
5573:
5568:
5563:
5561:Yitzhar Hofman
5558:
5553:
5548:
5543:
5538:
5533:
5527:
5525:
5518:
5511:
5505:
5504:
5501:
5500:
5497:
5496:
5494:
5493:
5485:
5483:
5479:
5478:
5476:
5475:
5470:
5463:
5456:
5447:
5445:
5441:
5440:
5438:
5437:
5436:
5435:
5424:
5422:
5418:
5417:
5415:
5414:
5409:
5404:
5402:A/RES/ES-10/23
5399:
5394:
5389:
5387:A/RES/ES-10/22
5384:
5379:
5377:A/RES/ES-10/21
5373:
5371:
5370:UN resolutions
5367:
5366:
5364:
5363:
5362:
5361:
5356:
5354:D-Chowk Dharna
5348:
5347:
5346:
5341:
5336:
5331:
5326:
5321:
5316:
5306:
5304:United Kingdom
5301:
5300:
5299:
5289:
5288:
5287:
5279:
5278:
5277:
5269:
5268:
5267:
5262:
5257:
5246:
5244:
5238:
5237:
5235:
5234:
5233:
5232:
5227:
5222:
5217:
5212:
5202:
5197:
5192:
5191:
5190:
5179:
5177:
5176:Discrimination
5173:
5172:
5170:
5169:
5164:
5158:
5156:
5147:
5146:
5141:
5136:
5131:
5126:
5121:
5116:
5114:European Union
5111:
5106:
5101:
5100:
5099:
5094:
5083:
5081:
5072:
5071:
5070:
5069:
5068:
5067:
5062:
5057:
5047:
5037:
5032:
5031:
5030:
5020:
5019:
5018:
5013:
5011:Misinformation
5008:
5001:Media coverage
4998:
4993:
4992:
4991:
4986:
4981:
4976:
4971:
4961:
4960:
4959:
4949:
4944:
4939:
4938:
4937:
4932:
4922:
4916:
4914:
4908:
4907:
4904:
4903:
4901:
4900:
4895:
4894:
4893:
4883:
4878:
4877:
4876:
4871:
4866:
4856:
4851:
4850:
4849:
4839:
4838:
4837:
4832:
4822:
4817:
4811:
4809:
4802:
4801:
4796:
4791:
4786:
4781:
4776:
4771:
4766:
4761:
4756:
4750:
4748:
4742:
4741:
4738:
4737:
4735:
4734:
4729:
4724:
4718:
4716:
4712:
4711:
4709:
4708:
4703:
4698:
4692:
4690:
4686:
4685:
4683:
4682:
4677:
4676:
4675:
4665:
4660:
4654:
4652:
4648:
4647:
4645:
4644:
4639:
4634:
4628:
4626:
4619:
4618:
4613:
4608:
4601:
4595:
4593:
4587:
4586:
4583:
4582:
4579:
4578:
4576:
4575:
4567:
4562:
4560:missile strike
4554:
4549:
4541:
4535:
4533:
4531:Red Sea crisis
4527:
4526:
4524:
4523:
4518:
4513:
4508:
4503:
4498:
4492:
4490:
4484:
4483:
4481:
4480:
4475:
4470:
4469:
4468:
4463:
4455:
4449:
4447:
4438:
4437:
4432:
4427:
4422:
4417:
4412:
4407:
4406:
4405:
4400:
4395:
4384:
4382:
4374:
4373:
4370:
4369:
4367:
4366:
4361:
4356:
4351:
4346:
4341:
4335:
4333:
4332:General topics
4329:
4328:
4326:
4325:
4320:
4315:
4310:
4305:
4300:
4295:
4293:Flour massacre
4290:
4285:
4280:
4275:
4269:
4267:
4263:
4262:
4260:
4259:
4258:
4257:
4247:
4242:
4237:
4232:
4231:
4230:
4225:
4215:
4209:
4207:
4199:
4198:
4196:
4195:
4190:
4185:
4180:
4175:
4170:
4165:
4160:
4154:
4152:
4146:
4145:
4143:
4142:
4137:
4132:
4127:
4122:
4117:
4112:
4107:
4102:
4101:
4100:
4090:
4089:
4088:
4077:
4075:
4064:
4063:
4062:
4061:
4051:
4046:
4041:
4035:
4033:
4023:
4022:
4019:
4018:
4016:
4015:
4008:
4003:
3998:
3996:Death Shelters
3993:
3988:
3982:
3980:
3979:General topics
3976:
3975:
3973:
3972:
3967:
3962:
3957:
3952:
3946:
3944:
3940:
3939:
3937:
3936:
3931:
3926:
3921:
3916:
3911:
3906:
3901:
3896:
3891:
3890:
3889:
3879:
3874:
3868:
3866:
3859:
3846:
3838:
3837:
3835:
3834:
3829:
3823:
3820:
3819:
3812:
3811:
3804:
3797:
3789:
3781:
3780:
3755:
3730:
3705:
3680:
3634:
3595:
3581:. 3 April 2024
3566:
3551:. 3 April 2024
3536:
3506:
3479:. 3 April 2024
3464:
3438:
3410:
3370:
3344:
3340:SBS World News
3297:
3279:. 3 April 2024
3264:
3249:. 3 April 2024
3234:
3219:. 3 April 2024
3204:
3174:
3138:
3104:
3074:
3024:
3001:. 3 April 2024
2983:
2950:
2924:
2884:
2846:
2800:
2765:
2738:
2726:
2677:
2633:
2588:
2534:
2500:
2463:
2433:
2396:
2361:
2314:
2274:
2225:
2194:
2157:
2120:
2076:
2029:
1987:
1953:
1918:
1883:
1876:. p. 33:
1872:
1854:
1847:probabilities.
1810:
1803:. p. 13:
1799:
1781:
1743:
1712:
1677:
1636:
1601:
1554:
1512:
1480:
1479:
1477:
1474:
1471:
1470:
1457:
1439:
1438:
1436:
1433:
1432:
1431:
1429:Project Nimbus
1426:
1421:
1416:
1409:
1406:
1381:
1378:
1369:
1368:Accountability
1366:
1344:
1341:
1306:
1303:
1273:
1270:
1205:
1202:
1171:
1168:
1112:
1109:
1087:
1084:
1058:
1055:
999:being surgical
968:
965:
926:
923:
894:
891:
833:
832:
830:
829:
824:
819:
814:
809:
808:
807:
802:
792:
790:Misinformation
787:
782:
777:
772:
771:
770:
765:
758:2023 ceasefire
755:
750:
745:
740:
735:
730:
725:
724:
723:
718:
713:
708:
698:
693:
688:
683:
682:
681:
674:Hostage crisis
671:
670:
669:
664:
663:
662:
652:
642:
637:
632:
627:
621:
620:
616:
615:
610:
605:
604:
603:
598:
593:
583:
582:
581:
576:
571:
563:
555:
550:
548:missile strike
542:
537:
529:
522:Red Sea crisis
518:
517:
515:Other theaters
511:
510:
505:
500:
495:
490:
485:
480:
478:Khadija school
475:
470:
465:
460:
458:Al-Awda school
455:
450:
445:
440:
435:
430:
425:
420:
419:
418:
408:
403:
398:
396:Flour massacre
393:
388:
383:
382:
381:
376:
371:
366:
356:
351:
350:
349:
344:
343:
342:
337:
332:
331:
330:
325:
304:
303:
297:
296:
291:
286:
281:
276:
271:
266:
261:
256:
251:
246:
241:
240:
239:
228:
227:
221:
220:
219:
218:
208:
207:
206:
204:Khan Yunis III
201:
196:
191:
186:
181:
176:
171:
170:
169:
159:
154:
149:
144:
139:
129:
128:
127:
122:
112:
111:
110:
109:
108:
98:
93:
82:
81:
75:
74:
69:
63:
60:
59:
48:
47:
40:
33:
25:
15:
9:
6:
4:
3:
2:
6395:
6384:
6381:
6379:
6376:
6374:
6371:
6369:
6366:
6364:
6361:
6359:
6356:
6354:
6351:
6349:
6346:
6344:
6341:
6339:
6336:
6334:
6331:
6330:
6328:
6318:
6308:
6306:
6296:
6294:
6284:
6283:
6280:
6267:
6259:
6258:
6255:
6248:
6244:
6242:
6239:
6236:
6232:
6230:
6227:
6225:
6222:
6219:
6215:
6212:
6208:
6205:
6201:
6199:
6196:
6194:
6191:
6189:
6188:
6184:
6182:
6179:
6177:
6176:Blockout 2024
6174:
6172:
6169:
6166:
6162:
6160:
6157:
6155:
6152:
6150:
6147:
6146:
6144:
6138:
6128:
6125:
6123:
6120:
6118:
6115:
6113:
6110:
6108:
6105:
6104:
6102:
6098:
6092:
6089:
6087:
6084:
6082:
6079:
6077:
6074:
6072:
6069:
6067:
6064:
6063:
6061:
6057:
6054:
6048:
6038:
6037:Friendly fire
6035:
6033:
6030:
6029:
6027:
6023:
6017:
6014:
6012:
6009:
6007:
6004:
6002:
5999:
5997:
5994:
5993:
5991:
5989:
5985:
5979:
5976:
5974:
5971:
5969:
5966:
5964:
5961:
5959:
5956:
5954:
5951:
5949:
5946:
5944:
5941:
5939:
5936:
5934:
5931:
5930:
5928:
5924:
5914:
5911:
5909:
5906:
5904:
5901:
5899:
5896:
5894:
5891:
5889:
5886:
5884:
5881:
5879:
5876:
5874:
5871:
5869:
5866:
5864:
5861:
5859:
5856:
5854:
5851:
5849:
5846:
5844:
5841:
5839:
5836:
5834:
5831:
5829:
5826:
5824:
5823:Rashid Dabour
5821:
5819:
5816:
5814:
5811:
5809:
5808:Mohammad Bhar
5806:
5804:
5801:
5799:
5796:
5794:
5791:
5789:
5786:
5784:
5781:
5779:
5776:
5774:
5773:Hiba Abu Nada
5771:
5769:
5766:
5764:
5761:
5760:
5758:
5754:
5748:
5745:
5743:
5740:
5739:
5737:
5731:
5725:
5722:
5720:
5719:Alaa Shreiteh
5717:
5715:
5712:
5710:
5707:
5705:
5702:
5700:
5697:
5695:
5692:
5690:
5687:
5685:
5684:Mohammed Deif
5682:
5680:
5677:
5675:
5674:Wissam Farhat
5672:
5670:
5667:
5665:
5662:
5660:
5657:
5655:
5652:
5651:
5649:
5645:
5642:
5638:
5628:
5625:
5623:
5622:Vivian Silver
5620:
5618:
5615:
5613:
5610:
5608:
5607:Ofir Libstein
5605:
5603:
5602:Hayim Katsman
5600:
5598:
5595:
5593:
5590:
5589:
5587:
5583:
5577:
5574:
5572:
5569:
5567:
5564:
5562:
5559:
5557:
5554:
5552:
5551:Salman Habaka
5549:
5547:
5544:
5542:
5541:Jayar Davidov
5539:
5537:
5534:
5532:
5531:Alim Abdallah
5529:
5528:
5526:
5522:
5519:
5515:
5512:
5510:
5506:
5492:
5491:
5487:
5486:
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5480:
5474:
5471:
5469:
5468:
5464:
5462:
5461:
5457:
5455:
5453:
5449:
5448:
5446:
5444:Global courts
5442:
5434:
5431:
5430:
5429:
5426:
5425:
5423:
5419:
5413:
5410:
5408:
5405:
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5400:
5398:
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5388:
5385:
5383:
5380:
5378:
5375:
5374:
5372:
5368:
5360:
5357:
5355:
5352:
5351:
5349:
5345:
5342:
5340:
5339:Protest votes
5337:
5335:
5332:
5330:
5327:
5325:
5322:
5320:
5317:
5315:
5312:
5311:
5310:
5309:United States
5307:
5305:
5302:
5298:
5295:
5294:
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5290:
5286:
5283:
5282:
5280:
5276:
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5017:
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4879:
4875:
4872:
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4867:
4865:
4862:
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4860:
4857:
4855:
4854:Human shields
4852:
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4840:
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4777:
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4707:
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4659:
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4655:
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4649:
4643:
4640:
4638:
4637:Oded Lifshitz
4635:
4633:
4630:
4629:
4627:
4623:
4617:
4614:
4612:
4609:
4607:
4606:
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4597:
4596:
4594:
4592:
4588:
4574:
4573:
4568:
4566:
4563:
4561:
4559:
4558:Marlin Luanda
4555:
4553:
4550:
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4547:
4542:
4540:
4537:
4536:
4534:
4532:
4528:
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4418:
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4411:
4408:
4404:
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4399:
4396:
4394:
4391:
4390:
4389:
4386:
4385:
4383:
4381:
4375:
4365:
4362:
4360:
4359:Gaza genocide
4357:
4355:
4352:
4350:
4347:
4345:
4342:
4340:
4337:
4336:
4334:
4330:
4324:
4321:
4319:
4316:
4314:
4311:
4309:
4306:
4304:
4301:
4299:
4296:
4294:
4291:
4289:
4288:Rafah strikes
4286:
4284:
4281:
4279:
4276:
4274:
4271:
4270:
4268:
4266:Other attacks
4264:
4256:
4253:
4252:
4251:
4248:
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4243:
4241:
4238:
4236:
4233:
4229:
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4147:
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4128:
4126:
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4118:
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4108:
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4103:
4099:
4096:
4095:
4094:
4091:
4087:
4084:
4083:
4082:
4079:
4078:
4076:
4074:
4073:refugee camps
4068:
4060:
4057:
4056:
4055:
4052:
4050:
4047:
4045:
4042:
4040:
4037:
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3997:
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3900:
3897:
3895:
3892:
3888:
3885:
3884:
3883:
3880:
3878:
3875:
3873:
3872:Netiv HaAsara
3870:
3869:
3867:
3863:
3860:
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3845:
3839:
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3214:
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3201:
3189:
3185:
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3149:
3142:
3135:
3119:
3115:
3108:
3101:
3089:
3085:
3078:
3071:
3048:
3044:
3040:
3033:
3031:
3029:
3021:
3012:capabilities.
3000:
2996:
2990:
2988:
2980:
2965:
2961:
2954:
2939:
2935:
2928:
2921:
2899:
2895:
2888:
2881:
2861:
2857:
2850:
2843:
2837:
2833:
2832:+972 Magazine
2815:
2811:
2804:
2797:
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2769:
2753:
2749:
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2519:
2515:
2511:
2504:
2497:
2495:
2494:Yuval Abraham
2482:
2478:
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2460:
2448:
2444:
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2279:
2271:
2270:assassinated.
2249:
2245:
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2234:
2232:
2230:
2213:
2209:
2205:
2198:
2191:
2189:
2188:Yuval Abraham
2176:
2172:
2168:
2161:
2154:
2152:
2151:Yuval Abraham
2139:
2135:
2131:
2124:
2117:
2100:
2096:
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2085:
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2073:
2053:
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2006:
2002:
1998:
1991:
1984:
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1668:Robert Ashley
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1424:Project Maven
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1322:Élise Vincent
1319:
1314:
1311:
1302:
1301:their homes.
1299:
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1163:
1159:
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1148:
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1141:
1137:
1133:
1129:
1125:
1124:+972 Magazine
1121:
1117:
1108:
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1097:
1094:
1083:
1081:
1076:
1072:
1067:
1064:
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1047:
1045:
1041:
1035:
1032:
1031:
1026:
1025:+972 Magazine
1022:
1021:+972 Magazine
1017:
1013:
1012:
1006:
1002:
1000:
996:
992:
991:
990:+972 Magazine
986:
985:Yuval Abraham
982:
978:
974:
964:
962:
957:
955:
954:non-combatant
951:
947:
941:
938:
935:
933:
922:
920:
916:
912:
908:
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900:
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569:
564:
562:
561:
556:
554:
551:
549:
547:
546:Marlin Luanda
543:
541:
538:
536:
535:
530:
528:
525:
524:
523:
520:
519:
516:
513:
512:
509:
508:Gaza genocide
506:
504:
501:
499:
496:
494:
493:Deir al-Balah
491:
489:
486:
484:
483:Hamama school
481:
479:
476:
474:
471:
469:
466:
464:
461:
459:
456:
454:
451:
449:
446:
444:
441:
439:
436:
434:
431:
429:
426:
424:
423:Tel al-Sultan
421:
417:
414:
413:
412:
411:Friendly fire
409:
407:
404:
402:
399:
397:
394:
392:
391:Rafah strikes
389:
387:
384:
380:
377:
375:
372:
370:
367:
365:
362:
361:
360:
357:
355:
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345:
341:
338:
336:
333:
329:
326:
324:
321:
320:
319:
316:
315:
314:
313:Refugee camps
311:
310:
309:
306:
305:
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299:
298:
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280:
277:
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257:
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250:
247:
245:
244:Netiv HaAsara
242:
238:
235:
234:
233:
230:
229:
226:
223:
222:
217:
214:
213:
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209:
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199:Khan Yunis II
197:
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190:
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185:
182:
180:
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174:Shuja'iyya II
172:
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68:
65:
64:
61:
56:
46:
41:
39:
34:
32:
27:
26:
23:
19:
6185:
6117:Motaz Azaiza
6100:Palestinians
6066:Nimrod Aloni
5978:Ibrahim Aqil
5948:Razi Mousavi
5908:Wael Al Zard
5903:Sufian Tayeh
5843:Fathi Ghaben
5838:Omar Ferwana
5833:Awni El-Dous
5783:Hammam Alloh
5699:Osama Mazini
5627:Yahav Winner
5617:Aner Shapira
5546:Eli Ginsberg
5489:
5466:
5458:
5451:
5319:DNC protests
5200:Islamophobia
5183:Antisemitism
5154:Military aid
4673:Noa Argamani
4663:Ori Megidish
4632:Bibas family
4603:
4571:
4557:
4545:
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