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SUMMARY:IC Talk: Provably Beneficial Artificial Intelligence
DTSTART:20191101T121500
DTEND:20191101T133000
DTSTAMP:20260511T092557Z
UID:9a5be3b2269ac5f459a80fcb020135849eda2b59f2f02c358214ae75
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Stuart Russell - UC Berkeley\nVideo of his talk\n\nAbstrac
 t:\nIt is reasonable to expect that AI capabilities will eventually exceed
  those of humans across a range of real-world-decision making scenarios. S
 hould this be a cause for concern\, as Elon Musk\, Stephen Hawking\, and o
 thers have suggested?  While some in the mainstream AI community dismiss 
 the issue\, I will argue instead that a fundamental reorientation of the f
 ield is required. Instead of building systems that optimize arbitrary obje
 ctives\, we need to learn how to build systems that will\, in fact\, be be
 neficial for us. I will show that it is useful to imbue systems with expli
 cit uncertainty concerning the true objectives of the humans they are desi
 gned to help. This uncertainty causes machine and human behavior to be ine
 xtricably (and game-theoretically) linked\, while opening up many new aven
 ues for research.\n \nThe ideas in this talk are described in more detail
  in a new book\, "Human Compatible: AI and the Problem of Control" (Viking
 /Penguin\, October 8\, 2019).\n\nBio:\nStuart Russell received his B.A. wi
 th first-class honours in physics from Oxford University in 1982 and his P
 h.D. in computer science from Stanford in 1986. He then joined the faculty
  of the University of California at Berkeley\, where he is Professor (and 
 formerly Chair) of Electrical Engineering and Computer Sciences\, holder o
 f the Smith-Zadeh Chair in Engineering\, and Director of the Center for Hu
 man-Compatible AI. He has served as an Adjunct Professor of Neurological S
 urgery at UC San Francisco and as Vice-Chair of the World Economic Forum's
  Council on AI and Robotics. He is a recipient of the Presidential Young I
 nvestigator Award of the National Science Foundation\, the IJCAI Computers
  and Thought Award\, the World Technology Award (Policy category)\, the Mi
 tchell Prize of the American Statistical Association\, the Feigenbaum Priz
 e of the Association for the Advancement of Artificial Intelligence\, and 
 Outstanding Educator Awards from both ACM and AAAI. From 2012 to 2014 he h
 eld the Chaire Blaise Pascal in Paris\, and he has been awarded the Andrew
  Carnegie Fellowship for 2019 to 2021. He is an Honorary Fellow of Wadham 
 College\, Oxford\; Distinguished Fellow of the Stanford Institute for Huma
 n-Centered AI\; Associate Fellow of the Royal Institute for International 
 Affairs (Chatham House)\; and Fellow of the Association for the Advancemen
 t of Artificial Intelligence\, the Association for Computing Machinery\, a
 nd the American Association for the Advancement of Science. His book "Arti
 ficial Intelligence: A Modern Approach" (with Peter Norvig) is the standar
 d text in AI\; it has been translated into 14 languages and is used in ove
 r 1400 universities in 128 countries. His research covers a wide range of 
 topics in artificial intelligence\, including machine learning\, probabili
 stic reasoning\, knowledge representation\, planning\, real-time decision 
 making\, multitarget tracking\, computer vision\, computational physiology
 \, and philosophical foundations. He also works for the United Nations\, d
 eveloping a new global seismic monitoring system for the 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 humani
 ty. \n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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