Technical Fellow and Managing Director, Microsoft Research—Redmond Lab
I will present an update on the One Hundred Year Study on Artificial Intelligence (AI100). I will describe the background and status of the project, including the roots of the effort in earlier experiences with the 2008‐09 AAAI Panel on Long‐Term AI Futures that culminated in the AAAI Asilomar meeting. I will discuss highlights of the report by the 2016 study panel and reflect about several directions for investigation, highlighting opportunities for reflection and investment in proactive research, monitoring, and guidance. I look forward to comments and feedback from seminar attendees.
Eric Horvitz is a technical fellow and director of the Microsoft Research lab on Microsoft’s main campus in Redmond, WA. He pursues research on the computational foundations of cognition, with work on machine learning, perception, and decision making. His efforts and collaborations have led to fielded systems in healthcare, transportation, ecommerce, operating systems, and aerospace. He has received the Feigenbaum Prize and the Allen Newell Prize for contributions to the field of artificial intelligence. Beyond work on AI principles, he is interested in challenges with the safety, ethics, fairness, and transparency of AI systems, and on broader societal influences of AI advances, including implications for jobs and economics and for freedom and democracy. He founded the One Hundred Year Study on AI and served as co-chair for the organization and launch of the Partnership on AI to Support People and Society, a joint effort by Amazon, Facebook, Google, DeepMind, IBM, and Microsoft. More information can be found at http://research.microsoft.com/~horvitz.
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