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DTSTART;TZID=America/Los_Angeles:20230405T120000
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SUMMARY:CITRIS Research Exchange and BAIR Present: Stuart Russell on Ethical AI Decision-making
DESCRIPTION:Talk Title: “How Not To Destroy the World With AI” \nSpeaker: Stuart Russell\, Professor of Computer Science\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: It is reasonable to expect that artificial intelligence (AI) capabilities will eventually exceed those of humans across a range of real-world decision-making scenarios. Should this be a cause for concern\, as Alan Turing and others have suggested? Will we lose control over our future? Or will AI complement and augment human intelligence in beneficial ways? It turns out that both views are correct\, but they are talking about completely different forms of AI. To achieve the positive outcome\, a fundamental reorientation of the field is required. Instead of building systems that optimize arbitrary objectives\, we need to learn how to build systems that will\, in fact\, be beneficial for us. Russell will argue that this is possible as well as necessary. The new approach to AI opens up many avenues for research and brings into sharp focus several questions at the foundations of moral philosophy. \nSpeaker Bio: Stuart Russell\, OBE\, is a professor of computer science at the University of California\, Berkeley\, and an honorary fellow of Wadham College at the University of Oxford. He is a leading researcher in artificial intelligence and the author\, with Peter Norvig\, of “Artificial Intelligence: A Modern Approach\,” the standard text in the field. He has been active in arms control for nuclear and autonomous weapons. His latest book\, “Human Compatible\,” addresses the long-term impact of AI on humanity. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-stuart-russell-on-ethical-ai-decision-making/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/Four-lecture-AI-Series-5.png
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DTSTART;TZID=America/Los_Angeles:20230412T120000
DTEND;TZID=America/Los_Angeles:20230412T130000
DTSTAMP:20260430T230256
CREATED:20230313T234154Z
LAST-MODIFIED:20230911T170947Z
UID:47307-1681300800-1681304400@citris-uc.org
SUMMARY:CITRIS Research Exchange and BAIR Present: Sergey Levine on Reinforcement Learning in AI
DESCRIPTION:Talk Title: “Reinforcement Learning With Large Datasets: a Path to Resourceful Autonomous Agents” \nSpeaker: Sergey Levine\, Associate Professor of Electrical Engineering and Computer Science\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: One of the most remarkable things about recent generative machine learning systems is their ability to produce generations that seem like something humans would create. In contrast\, one of the most remarkable things about reinforcement learning methods\, such as AlphaGo\, is precisely that they can come up with solutions\, such as Move 37\, that solve problems in unexpected ways. But such methods are difficult to apply to settings that\, unlike the game of Go\, are not constrained by simple rules. What would it take to create machine learning systems that can make decisions when faced with the full complexity of the real world\, while retaining the ability to come up with new solutions? In this talk\, Levine will discuss how advances in offline reinforcement learning can enable machine learning systems to make more optimal decisions from data\, combining the best of data-driven machine learning with the capacity for emergent behavior and optimization provided by reinforcement learning. \nSpeaker Bio: Sergey Levine received a B.S. and M.S. in computer science from Stanford University in 2009\, and a Ph.D. in computer science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision-making and control\, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles\, as well as applications in other decision-making domains. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control\, scalable algorithms for inverse reinforcement learning\, deep reinforcement learning algorithms\, and more. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-sergey-levine-on-reinforcement-learning-in-ai/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/research-exchange-ai-lectures-1540x368px.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230419T120000
DTEND;TZID=America/Los_Angeles:20230419T130000
DTSTAMP:20260430T230256
CREATED:20230313T235151Z
LAST-MODIFIED:20230911T171035Z
UID:47308-1681905600-1681909200@citris-uc.org
SUMMARY:CITRIS Research Exchange and BAIR Present: Michael I. Jordan on Economics in AI
DESCRIPTION:Talk Title: “How AI Fails Us\, and How Economics Can Help” \nSpeaker: Michael I. Jordan\, Distinguished Professor of Electrical Engineering and Computer Science and of Statistics\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: Artificial intelligence (AI) has focused on a paradigm in which intelligence inheres in a single agent\, and in which agents should be autonomous so they can exhibit intelligence independent of human intelligence. Thus\, when AI systems are deployed in social contexts\, the overall design is often naive. Such a paradigm need not be dominant. In a broader framing\, agents are active and cooperative\, and they wish to obtain value from participation in learning-based systems. Agents may supply data and resources to the system\, only if it is in their interest. Critically\, intelligence inheres as much in the system as it does in individual agents. This perspective is familiar to economics researchers\, and a first goal in this work is to bring economics into contact with computer science and statistics. The long-term goal is to provide a broader conceptual foundation for emerging real-world AI systems\, and to upend received wisdom in the computational\, economic and inferential disciplines. \nSpeaker Bio: Michael I. Jordan is the Pehong Chen Distinguished Professor in the departments of electrical engineering and computer science and of statistics at the University of California\, Berkeley. His research interests bridge the computational\, statistical\, cognitive\, biological and social sciences. Jordan is a member of the National Academy of Sciences\, the National Academy of Engineering\, and the American Academy of Arts and Sciences\, and a foreign member of the Royal Society. He was a plenary lecturer at the International Congress of Mathematicians in 2018. He received the Ulf Grenander Prize from the American Mathematical Society in 2021\, the IEEE John von Neumann Medal in 2020\, the IJCAI Research Excellence Award in 2016\, the David E. Rumelhart Prize from the Cognitive Science Society in 2015 and the ACM/AAAI Allen Newell Award in 2009. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-michael-i-jordan-on-economics-in-ai/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/research-exchange-ai-lectures-1540x368px.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230426T120000
DTEND;TZID=America/Los_Angeles:20230426T130000
DTSTAMP:20260430T230256
CREATED:20230314T173255Z
LAST-MODIFIED:20230911T171134Z
UID:47309-1682510400-1682514000@citris-uc.org
SUMMARY:CITRIS Research Exchange and BAIR Present: Pamela Samuelson on Generative AI and Copyright
DESCRIPTION:Talk Title: “Generative AI Meets Copyright” \nSpeaker: Pamela Samuelson\, Richard M. Sherman Distinguished Professor of Law\, UC Berkeley \nRegister To Attend | Watch Livestream on YouTube \nAbstract: The question that has intrigued copyright professionals since the mid-1960s is whether computer-generated texts and images would be eligible for this law’s protection. Early on\, the consensus was that artificial intelligence (AI) is just a tool\, like a camera\, so humans could claim copyright in machine-generated outputs to which they made contributions. Now the consensus is that AI-generated texts and images are not copyrightable for the lack of a human author. The urgent questions today focus on whether ingesting in-copyright works as training data is copyright infringement and whether the outputs of AI programs are infringing derivative works of the ingested images. Four recent lawsuits\, one involving GitHub’s Copilot and three involving Stable Diffusion\, will address these issues. \nSpeaker Bio: Pamela Samuelson has been a member of the UC Berkeley School of Law faculty since 1996. She has written and spoken extensively about the challenges that new information technologies pose for traditional legal regimes\, especially for intellectual property law. She is a member of the American Academy of Arts & Sciences\, a fellow of the Association for Computing Machinery (ACM)\, a contributing editor of Communications of the ACM\, a past fellow of the John D. & Catherine T. MacArthur Foundation\, a member of the American Law Institute\, and an honorary professor of the University of Amsterdam. \nAbout the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab. \nAbout the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic\, industry and civic leaders. Free and open to the public\, these seminars feature leading voices on societal-scale research issues. Presentations take place on Wednesdays from noon to 1 p.m. PT. Have an idea for a great talk? Please feel free to suggest potential speakers for our series. \nSign up to receive the latest news and updates from CITRIS.
URL:https://citris-uc.org/event/citris-research-exchange-and-bair-present-pamela-samuelson-on-generative-ai-and-copyright/
LOCATION:Banatao Auditorium\, 310 Sutardja Dai Hall\, 2594 Hearst Avenue\, Berkeley\, CA\, 94720\, United States
CATEGORIES:CITRIS Research Exchange Seminar
ATTACH;FMTTYPE=image/png:https://citris-uc.org/wp-content/uploads/2023/03/research-exchange-ai-lectures-1540x368px.png
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