Big Thoughts and Big Questions about Ethics in Artificial Intelligence
Please submit your questions to the panelists for our upcoming Townhall!

There has been a torrent of news, announcements, and discussions in the last year about the ethics of artificial intelligence (AI) and the impact AI can and may have on society. Thinkers and groups from all corners have entered the discussion: from multiple statements by the Whitehouse about artificial intelligence and the future of work and the economy; to new academic and research centers for ethics in artificial intelligence at Oxford and the Allen Institute; to large corporations forming the Partnership for AI.  We sit down with 4 panelists to discuss what's hot, what they see on the horizon, and to answer your questions.

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Panelists and Moderators
Panelists:

Joanna J. Bryson is a transdisciplinary researcher on the structure and dynamics of human- and animal-like intelligence. Her research covers topics ranging from artificial intelligence, through autonomy and robot ethics, and on to human cooperation.  She holds degrees in Psychology from Chicago (AB) and Edinburgh (MPhil), and Artificial Intelligence from Edinburgh (MSc) and MIT (ScD). She has additional professional research experience with Oxford, Harvard, and LEGO; technology experience in Chicago's financial industry, and experience in international organization management consultancy. Bryson is presently a Reader (associate professor) at the University of Bath, where in April she will be running Society with AI (http://aisb2017.cs.bath.ac.uk/) (AISB 2017, CFPs due in January and February). She is also currently an affiliate of Princeton's Center for Information Technology Policy.

Stuart Russell received his B.A. with first-class honours in physics from Oxford University in 1982 and his Ph.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 and holder of the Smith-Zadeh Chair in Engineering. He is also an Adjunct Professor of Neurological Surgery at UC San Francisco and Vice-Chair of the World Economic Forum's Council on AI and Robotics. He is a recipient of the Presidential Young Investigator Award of the National Science Foundation, the IJCAI Computers and Thought Award, the World Technology Award (Policy category), the Mitchell Prize of the American Statistical Association and the International Society for Bayesian Analysis, and Outstanding Educator Awards from both ACM and AAAI. In 1998, he gave the Forsythe Memorial Lectures at Stanford University and from 2012 to 2014 he held the Chaire Blaise Pascal in Paris. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, global seismic monitoring, and philosophical foundations. His books include "The Use of Knowledge in Analogy and Induction", "Do the Right Thing: Studies in Limited Rationality" (with Eric Wefald), and "Artificial Intelligence: A Modern Approach" (with Peter Norvig).

Michael Wooldridge is the Head of Department and Professor of Computer Science in the Department of Computer Science at the University of Oxford, and a Senior Research Fellow at Hertford College. He joined Oxford in 2012; before this he was for twelve years a Professor of Computer Science at the University of Liverpool. Michael’s main research interests are in the use of formal techniques of one kind or another for reasoning about multiagent systems. He am particularly interested in the computational aspects of rational action in systems composed of multiple self-interested computational systems. His current research is at the intersection of logic, computational complexity, and game theory.He has published more than three hundred articles in the theory and practice of autonomous agents and multiagent systems. He is an ACM Fellow, an AAAI Fellow, a EURAI Fellow, an AISB Fellow, a BCS Fellow, and a member of Academia Europaea. In 2006, he was the recipient of the ACM Autonomous Agents Research Award. In 1997, he founded AgentLink, the EC-funded European Network of Excellence in the area of agent-based computing. He is the President of the International Joint Conference on Artificial Intelligence (IJCAI); was the co-editor-in-chief of the Journal Autonomous Agents and Multi-Agent Systems; an associate editor of the Journal of Artificial Intelligence Research (JAIR); an associate editor of Artificial Intelligence journal and served on the editorial boards of the Journal of Applied Logic, Journal of Logic and Computation, Journal of Applied Artificial Intelligence, and Computational Intelligence.

Moderators:

Nicholas Mattei is a Research Staff Member in the Cognitive Computing Group the IBM TJ Watson Research Laboratory.  He serves an ACM SIGAI Ethics Officer and is a co-orgnizer for the ACM SIGAI Student Essay Contest on the Responsible Use of AI Technologies (https://sigai.acm.org/aimatters/blog/2016/12/04/essaycontest/); please consider submitting for prizes! His research is in artificial intelligence (AI) and its applications; largely motivated by problems that require a blend of techniques to develop systems and algorithms that support decision making for autonomous agents and/or humans. Most of his projects and leverage theory, data, and experiment to create novel algorithms, mechanisms, and systems that enable and support individual and group decision making.  He is the founder and maintainer of www.PrefLib.org: A Library for Preferences. He has worked at Data61/CISRO, NICTA, NASA, and the University of Kentucky.

Dr. Rosemary Paradis is a Principal Research Engineer for Leidos Health and Life Sciences out of Gaithersburg, MD. Her current work as a data scientist for Big Data analytics includes building models in computational linguistics and natural language processing, machine learning, and artificial intelligence. She has an M.S. in Computer Science from Union College, and a Ph.D. in Computational Intelligence from Binghamton University. Dr. Paradis has a number of patents and publications in the area of recognition algorithms, artificial intelligence, and machine learning.  Previous work at Lockheed Martin included the design and development of machine learning algorithms and managing the Core Recognition and Identification technology development for the USPS, the Royal Mail, and the Sweden Post Office. Dr. Paradis has held positions at General Electric, IBM, and also was a professor at Hartwick College, Ithaca College and Rochester Institute of Technology. She is currently the Secretary/Treasurer for the ACM Special Interest Group on Artificial Intelligence (SIGAI).
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