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About the Event
The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. AAAI-20 had a diverse technical track, student abstracts, poster sessions, invited speakers, tutorials, workshops, and exhibit and competition programs, all selected according to the highest reviewing standards.
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Featured Speakers
Dawn Song
Professor at UC Berkeley
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning, security, and blockchain. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, distributed systems security, applied cryptography, blockchain and smart contracts, to the intersection of machine learning and security.
Stuart Russell
Professor of Computer Science at UC Berkeley
Stuart Russell works on fundamental problems in AI including theoretical foundations of rationality, the interaction of knowledge and learning, the unification of logic and probability, planning under uncertainty, and decision making over long time scales. In collaboration with UCSF, he applies AI to intensive care medicine. With the United
Nations, he has developed a new global seismic monitoring system for the Comprehensive Nuclear-Test-Ban Treaty. His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity. He is a fellow of AAAI, ACM, and AAAS; winner of the Computers and Thought Award, Outstanding Educator Awards from both ACM and AAAI, and the World Technology Award. From 2012 to 2014 he held the Chaire Blaise Pascal in Paris.
His book "Artificial Intelligence: A Modern Approach" (with Peter Norvig) is the standard text in AI; it has been translated into 14 languages and is used in over 1300 universities in 118 countries.
Nations, he has developed a new global seismic monitoring system for the Comprehensive Nuclear-Test-Ban Treaty. His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity. He is a fellow of AAAI, ACM, and AAAS; winner of the Computers and Thought Award, Outstanding Educator Awards from both ACM and AAAI, and the World Technology Award. From 2012 to 2014 he held the Chaire Blaise Pascal in Paris.
His book "Artificial Intelligence: A Modern Approach" (with Peter Norvig) is the standard text in AI; it has been translated into 14 languages and is used in over 1300 universities in 118 countries.
David Silver
Professor at Deepmind and University College London
David Silver is a principal research scientist at DeepMind and a professor at University College London. David’s work focuses on artificially intelligent agents based on reinforcement learning. David co-led the project that combined deep learning and reinforcement learning to play Atari games directly from pixels (Nature 2015). He also led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go (Nature 2016), and the AlphaZero project, which learned by itself to defeat the world’s strongest chess, shogi and Go programs (Nature 2017, Science 2018). Most recently he co-led the AlphaStar project, which led to the world’s first grandmaster level StarCraft player (Nature 2019). His work has been recognised by the Marvin Minsky award, Mensa Foundation Prize, and Royal Academy of Engineering Silver Medal.
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Dawn Song
Professor at UC Berkeley
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AI and Security Lessons, Challenges and Future Directions | Dawn Song | AAAI Invited Talk
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Vivian Lee
President, Health Platforms at Verily Life Sciences
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Big Data, AI, and the Journey to Value Driven Care Vivian S.Lee | AAAI-20
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Daniel Kahneman
Professor of Psychology and Public Affairs Emeritus at Princeton School of Public and International Affairs
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Aude Billard
Full Professor at EPFL
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Combining Machine Learning and Control for Reactive Robots - Aude Billard | AAAI-20 Invited Talk
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Isaac Kohane
Professor & Chair, Department of Biomedical Informatics at Harvard Medical School
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Following the Money: Expected and Unexpected Payoff for AI in Medicine by Isaac Z.Kohane | AAAI-20
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Susan Athey
Economics of Technology Professor at Stanford Graduate School of Business
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AAAI-20 Invited Talk: The Economic Value of Data for Targeted Pricing - Susan Athey
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Stuart Russell
Professor of Computer Science at UC Berkeley
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How Not to Destroy the World with AI - Stuart Russell | AAAI 2020
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AAAI-20 AI History Panel: Advancing AI by Playing Games
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