AI100

Stanford HAI

Join us for a 1 hour broadcast to listen in on the findings of the AI100 report. There will be two live broadcasts: 9-10am and 5-6pm (PDT).

<h3>Event Details: </h3>The 2021 AI100 Report was released on September 16th. Join us for the live broadcast of a discussion on the AI100 Report led by <a href="https://profiles.stanford.edu/russ-altman" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Russ Altman, Stanford University</a> (AI100 Faculty Director), <a href="https://www.cs.utexas.edu/~pstone/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Peter Stone, University of Texas at Austin</a> (AI100 Standing Committee Chair), and <a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman, Brown University</a> (AI100 2021 Report Lead Author). In order to acommodate various timezones there will be two live broadcasts available to watch: 9:00am - 10:00am (PDT) and 5:00pm - 6:00 pm (PDT). During each broadcast you will have the chance to hear from different panelists who have contributed to the AI100 Report. Additionally, we invite and encourage you to submit live questions for the panelists to address during each broadcast (<a href="https://app.sli.do/event/cts9zx4b" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">submit questions here</a>). <h3>What is AI100?</h3>The One Hundred Year Study on Artificial Intelligence, or <a href="https://ai100.stanford.edu" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">AI100</a>, is a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. Launched in 2014, AI100 considers the science, engineering, and deployment of AI-enabled computing systems. As its core activity, the Standing Committee that oversees the One Hundred Year Study forms a Study Panel every five years to assess the current state of AI. The Study Panel reviews AI’s progress in the years following the immediately prior report, envisions the potential advances that lie ahead, and describes the technical and societal challenges and opportunities these advances raise, including in such arenas as ethics, economics, and the design of systems compatible with human cognition. The first report was issued in 2016 and the 2021 installment was published on September 16, 2021.<h2></h2><h2>Agenda (Virtual Event):</h2>(All times in PDT)<h3></h3><h3>Tuesday, September 28, 2021</h3>Video Conference I9:00am - 9:05am - Welcome and Introduction<a href="https://hai.stanford.edu/people/russ-altman" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Russ Altman</a>, Associate Director, Stanford Human Centered Artificial Intelligence (HAI); Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer Science, Stanford University <a href="https://www.cs.utexas.edu/~pstone/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Peter Stone</a>, David Bruton, Jr. Centennial Professor and University Distinguished Teaching Professor of Computer Science, The University of Texas at Austin<a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman</a>, Royce Family Professor of Teaching Excellence of Computer Science, Brown University 9:05am - 9:30am - Panel Discussion <a href="https://infosci.cornell.edu/content/levy" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Karen Levy</a>, Assistant Professor of Information Science, Cornell University; Associate Faculty Member, Cornell Law School<a href="https://finale.seas.harvard.edu" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Finale Doshi-Velez, </a>Gordon McKay Professor of Computer Science, Harvard University <a href="https://hai.stanford.edu/people/terah-lyons" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Terah Lyons</a>, Founding Executive Director, Partnership on AI; Study Panelist, AI100; Steering Committee Member of AI Index at Stanford Human Centered Artificial Intelligence (HAI), Stanford University Moderator: <a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman</a>, Royce Family Professor of Teaching Excellence of Computer Science, Brown University 9:30am - 9:55am - Panelist Q&amp;A<a href="https://app.sli.do/event/cts9zx4b" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Submit questions to panelists here</a>9:55am - 10:00am - Closing Remarks <a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman</a>, Royce Family Professor of Teaching Excellence of Computer Science, Brown University <h3>Tuesday, September 28, 2021</h3>Video Conference II5:00pm - 5:05pm - Welcome and Introduction<a href="https://hai.stanford.edu/people/russ-altman" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Russ Altman</a>, Associate Director, Stanford Human Centered Artificial Intelligence (HAI); Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer Science, Stanford University <a href="https://www.cs.utexas.edu/~pstone/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Peter Stone</a>, David Bruton, Jr. Centennial Professor and University Distinguished Teaching Professor of Computer Science, The University of Texas at Austin<a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman</a>, Royce Family Professor of Teaching Excellence of Computer Science, Brown University 5:05pm - 5:30pm - Panel Discussion <a href="https://www.santafe.edu/people/profile/melanie-mitchell" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Melanie Mitchell</a>, Co-chair of Science Board, Science Steering Committee; Davis Professor of Complexity, Santa Fe Institute<a href="http://www.cse.unsw.edu.au/~tw/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Toby Walsh</a>, Laureate Fellow and Scientia Professor of Artificial Intelligence, University of New South Wales, Sydney <a href="https://live-sas-www-polisci.pantheon.sas.upenn.edu/people/standing-faculty/michael-c-horowitz" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Horowitz</a>, Director of Perry World House, Richard Perry Professor of Political Science, University of Pennsylvania <a href="https://www.law.utoronto.ca/faculty-staff/full-time-faculty/gillian-hadfield" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Gillian Hadfield</a>, Director of Schwartz Reisman Institute for Technology and Society; Schwartz Reisman Chair in Technology and Society; Professor of Law and of Strategic Management, University of TorontoModerator: <a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman</a>, Royce Family Professor of Teaching Excellence of Computer Science, Brown University 5:30pm - 5:55pm - Panelist Q&amp;A <a href="https://app.sli.do/event/cts9zx4b" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Submit questions to panelists here</a>5:55pm - 6:00pm - Closing Remarks <a href="https://cs.brown.edu/people/faculty/mlittman/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Michael Littman</a>, Royce Family Professor of Teaching Excellence of Computer Science, Brown University

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AI100

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