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SUMMARY:Séminaire: Michael I. Jordan (Inria Paris & U of California)
DESCRIPTION:Séminaire Econom’IA\ncoorganisé par EconomiX (Université Paris Nanterre)\, le CEROS (Université Paris Nanterre) et Bordeaux Sciences Économiques (BxSE\, Université de Bordeaux) \n \nMichael I. Jordan\nInria Paris and the University of California\, Berkeley \n  \nA Collectivist\, Economic Perspective on AI\n  \nInformation technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word « intelligence » is being used as a North Star for the development of this technology\, with human cognition viewed as a baseline. This view neglects the fact that humans are social animals\, and that much of our intelligence is social and cultural in origin. Thus\, a broader framing is to consider the system level\, where the agents in the system\, be they computers or humans\, are active\, they are cooperative\, and they wish to obtain value from their participation in learning-based systems. Agents may supply data and other resources to the system only if it is in their interest to do so\, and they may be honest and cooperative only if it is in their interest to do so. Critically\, intelligence inheres as much in the overall system as it does in individual agents. This is a perspective that is familiar in economics\, although without the focus on learning algorithms. A key challenge is thus to bring (micro)economic concepts into contact with foundational issues in the computing and statistical sciences. I’ll discuss some concrete examples of problems and solutions at this tripartite interface. \n\n*Michael I. Jordan is a Research Director at Inria and École Normale Supérieure in Paris\, and Distinguished Professor Emeritus at the University of California\, Berkeley\, where he held appointments in the Departments of Electrical Engineering and Computer Sciences and Statistics. A leading figure in machine learning and statistics\, he has helped shape several foundational areas of modern artificial intelligence. In 2016\, a ranking based on Semantic Scholar data and featured in Science identified him as the world’s most influential computer scientist. His current research explores the connections between artificial intelligence and economics\, including mechanism design\, algorithmic markets\, and incentives\, with particular attention to interactions and collective dynamics rather than autonomous agents considered in isolation. He is a member of the National Academy of Sciences\, the National Academy of Engineering\, the American Academy of Arts and Sciences\, and a Foreign Member of the Royal Society. His perspective is articulated\, among other places\, in his lecture How AI Fails Us\, and How Economics Can Help\, which examines what economics can contribute to the design of AI systems.\n\n  \n>> pour assister au séminaire via Zoom\, contacter julie.vissaguet@u-bordeaux.fr \n\n \nAgenda > Tous les événements\n\n \n  \n  \n 
URL:https://www.bse.u-bordeaux.fr/agenda/seminaire-michael-i-jordan-inria-paris-u-of-california-2/
LOCATION:Amphi Asselain\, bat. H\, av. Léon Duguit\, campus Pessac
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