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Can Robots Become Human?

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Salomon 101 at Brown Univ.

79 Waterman Street

Providence, RI 02912

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Artificial intelligence is no longer mere science fiction but a reality that is shaping people's lives, society, and the world as we know it. This year’s forum will discuss the implications of AI, and the potential for AI to "become human". Tech experts such as Silicon Valley venture capital firm CEO Jim Breyer have predicted that AI will develop singular self-learning capability and human-level intelligence by as early as 2050. What does that really mean for us and our future? We'll also talk about religion, specifically the Christian faith, and how these sorts of concerns tie into the possibility of AI becoming human or perhaps more controversially, possessing a soul. It is our intention for this event to foster discussion and contemplation on the future of our society that increasingly relies on technology.

Co-Presenter
Rosalind W. Picard, Sc.D. is founder and director of the Affective Computing Research Group at the MIT Media Lab, co-director of the Media Lab's Advancing Wellbeing Initiative, and faculty chair of MIT's Mind+Hand+Heart Initiative. She has co-founded Empatica, Inc. creating wearable sensors and analytics to improve health, and Affectiva, Inc. delivering technology to help measure and communicate emotion. Researcher, author, and inventor with multiple patents, Picard has consulted for many companies including Apple, HP, Motorola, and Samsung.

Co-Presenter
Michael L. Littman, Ph.D. is the co-director of the Humanity Centered Robotics Initiative at Brown. His research in machine learning examines algorithms for decision-making under uncertainty. He has earned multiple awards for teaching and his research has been recognized with three best-paper awards on the topics of meta-learning for computer crossword solving, complexity analysis of planning under uncertainty, and algorithms for efficient reinforcement learning. He has served on the editorial boards of the Journal of Machine Learning Research and the Journal of Artificial Intelligence Research.

Moderator
Thomas W. Doeppner, Ph.D. is vice chair of Brown CS, the director of Brown’s CS Master’s Program, the director of Undergraduate Studies, and the head of Brown’s CS Undergraduate TA Program. Interested in operating systems and everything related to them, he wrote one of the first threads packages for Unix and has dabbled in threads and concurrency ever since. More recently, he worked with wireless devices and mobile computers. He is currently interested in the area of operating system support for security.
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Salomon 101 at Brown Univ.

79 Waterman Street

Providence, RI 02912

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