Talk Title: “How Not To Destroy the World With AI”
Speaker: Stuart Russell, Professor of Computer Science, UC Berkeley
Abstract: 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.
Speaker 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.
About the Talk: Co-hosted with the UC Berkeley Artificial Intelligence Research (BAIR) Lab.
About 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.
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