AI in the Open World: Technology & Responsibility
Sponsored by the Algorithmic Fairness and Opacity Group (AFOG)
I will share reflections on key concerns arising with the development and fielding of AI applications in the open world, including challenges around capabilities, encoded values, and intelligibility of AI systems. Then, I will provide an update on the activities of the Aether committee, Microsoft’s cross-company advisory committee on AI, effects, and ethics in engineering and research.
Eric Horvitz is a technical fellow and director of Microsoft Research Labs. He pursues research on principles and applications of AI, including efforts in learning, inference, planning, and human-AI collaboration. His efforts and collaborations have led to fielded AI technologies in healthcare, transportation, e-commerce, productivity applications, and computing systems. His received the AAAI-ACM Allen Newell Award and the AAAI Feigenbaum Prize for contributions in AI. He has been elected fellow of the National Academy of Engineering (NAE), the Association for the Advancement of AI (AAAI), the Association of Computing Machinery (ACM), and the American Academy of Arts and Sciences. He earned his Ph.D. and M.D. degrees at Stanford University.
