240:. Belief Revision is a fundamental area in Artificial Intelligence. It provides representations, models and mechanisms for computers to develop a set of beliefs and to revise them over time as they receive new information. Belief revision plays a critical role in Explainable Artificial Intelligence. It allows AI systems to generate explanations of their behaviour that help humans interpret, understand, predict, and, importantly, trust AI systems.
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models and anytime algorithms for Belief
Revision Operators to be applied to real-world problems. Anytime algorithms have a critically important feature for real-world applications, the more time they have the better there outcomes. Not all algorithms have this feature. For example, venturing down fruitless decision/search tree branches usually means backtracking to a weaker outcome.
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Over the last three decades, Professor
Williams has provided solutions to several open research problems in decision-making related to finite representations of beliefs, the iteration of belief revision mechanisms, and the relevance of changes and explanations. She developed the first computational
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Professor
Williams is an Artificial Intelligence researcher with transdisciplinary expertise in Cognitive Science, Disruptive Technologies, Digital Transformation, Business and Law. She is listed among Robohub's "Top 25 Women in Robotics", and celebrated on the First International Day of Women and
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Team won the Tour Guide
Challenge with the highest score of any team on any test in the history of the Social Robotics League. In 2019 her Research Team won the Social Robotics League at RoboCup 2019. In 2020, the team had more female representation than all the other teams in the Social Robotics
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AAAI Fellow
Association for the Advancement of Artificial Intelligence; ATSE Fellow Australian Academy of Technological Science and Engineering; ACS Fellow Australian Computer Association; Australasian Artificial Intelligence Distinguished Research Contribution Award 2019; Google Faculty Award
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Conference on
Designing the Future at Berkeley, 2019 Academy of Marketing Science, United Nations WSIS Forum on the Impact of AI, 2016 World Science Festival, and Australian Strategic Policy Institute. She shared her views on the impact of AI on Human Rights during a panel at the
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and
Director of the UTS Magic Lab. At UNSW Professor Williams works with staff, students, alumni and the broader innovation community to grow innovation and entrepreneurship across the University and accelerate innovative thinking in Australia.
182:. She has served on numerous boards and advisory groups including KR Inc, the Innovation Reference Group with the South Western Sydney Local Area Health District, the Digital Transformation and the AI Preparedness Committees at ATSE, the
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Well-MÂłN: A Maximum-Margin
Approach to Unsupervised Structured Prediction', IEEE Transactions on Emerging Topics in Computational Intelligence, 2019. with Abidi, S, Piccardi, M, Tsang, WH.
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Team to become World
Champions in Social Robotics 2019–2022. The team was the Australian Champion and Top International team in 2004. It won the Human–Robot Interface Award in 2017. In 2018 the
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Innovation, Artificial
Intelligence (AI), AI Safety, Human-AI Collaboration, Explainable AI (XAI), Strategic Management, Business AI, Social Robotics, Legal and Ethical Implications of AI
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Full Characterization of Parikh's Relevance-Sensitive Axiom for Belief Revision, Journal of Artificial Intelligence Research 2019, with Theofanis Aravanis and Pavlos Peppas.
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An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence 2019, with Theofanis Aravanis and Pavlos Peppas.
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The Essence of Ethical Reasoning in Robot-Emotion Processing International Journal of Social Robotics 10 (2), 211-223, 2018 with Suman Ojha and Benjamin Johnston.
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2019-2020 and 2021-2022; Pauli Fellowship 2008; IBM Faculty Award 2007; #16 on 365 Women in STEM; Australasian Distinguished Doctoral Dissertation Award 1995.
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Williams has a PhD in Computer Science and a Master of Laws (LLM). She is co-founder of the AI Policy Hub. From 2003–2020 Professor Williams led the UTS
174:(the peak global body for Artificial Intelligence), a Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE), a Fellow of the
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Williams focuses on Innovation and works on AI, Decision Making Models, Human-AI Collaboration, AI Safety and Law. She leads a partnership with the
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Evolving robot empathy towards humans with motor disabilities through artificial pain generations, Neuroscience 5 (1), 56-73, 2017 with Muh Anshar.
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On the Logic of Theory Base Change Proceeding JELIA '94 Proceedings of the European Conference on Logics in Artificial Intelligence Pages 86-105
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League combined, highlighting the breadth of her impact in robotics and her commitment to developing a new generation of leaders.
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is the Michael J Crouch Chair for Innovation at the University of New South Wales in Sydney Australia (UNSW) based in the UNSW
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She is founder and director of the UNSW Business AI Lab and deputy director of the UNSW AI Institute. Mary-Anne served on the
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Professor Williams has been a speaker at major events, including the 2022 APAC Open Data Science Conference, 2021 ACM/IEEE
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Williams has made foundational contributions to the field of Decision Making using insights, methods and techniques from
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Williams, Mary-Anne; Sims, Aidan (2000). "SATEN: An Object-Oriented Web-Based Revision and Extraction Engine".
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ACM Eugene L. Lawler Award for Humanitarian Contributions within Computer Science and Informatics
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Decision-Theoretic Human–Robot Interaction: Designing Reasonable and Rational Robot Behaviour
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Fellows of the Australian Academy of Technological Sciences and Engineering
266:"The AI Race: Will Australia Lead or Lose, NSW Royal Society Journal, 2019"
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Fellows of the Association for the Advancement of Artificial Intelligence
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Australian SKA Regional Centre (Square Kilometer Array Telescope) Board
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Australian professor at UNSW founded Artificial Intelligence programs
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ICSR 2012: Social Robotics pp 45–55 Retrieved on 1 November 2017
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Previously Mary-Anne was a Distinguished Research Professor at
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Technological Opacity, Predictability, and Self-Driving Cars
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ICSR 2016: Social Robotics pp 72–82 Retrieved 1 November 2017
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619:. Jelia '94. ACM Digital Library. 1994. pp. 86–105.
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Australian Human Rights Commission Technology Conference
472:"Speaker on Artificial Intelligence and Social Robotics"
437:"International Day of Women and Girls in Science 2016"
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Academic staff of the University of New South Wales
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International Conference on Human–Robot Interaction
178:(FACS), Fellow and Affiliated Faculty at CODEX at
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213:in Social Robotics. She discussed the impact of
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425:"Six Impressive Australian Women Scientists"
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272:International Conference on Social Robotics
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217:on compassion and human rights with the
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124:Norman Foo at the University of Sydney
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413:RoboHub Top 25 Women in Robotics 2013
293:"A social robot in a Shopping Center"
288:"Cardozo Law Review, Vol. 38, 2016"
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551:. Happiness and Its Causes
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260:"Making a Social Impact"
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59:University of Sydney
367:"UNSW AI Institute"
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113:Stanford University
63:Stanford University
595:. UTS. 2 July 2018
593:"UTS RoboCup 2018"
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135:Mary-Anne Williams
71:Harvard University
25:Mary-Anne Williams
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371:unsw.edu.au
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333:Innovation
219:Dalai Lama
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555:1 August
511:16 March
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327:See also
151:and the
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226:RoboCup
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97:Fields
81:Awards
671:. CBA
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621:ISBN
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