Databite No. 98: Eric Horvitz

AI in the Open World: Directions, Challenges, and Futures

April 26, 2017 - 4:00 pm

Data & Society
36 West 20th Street, 11th Floor
New York, NY, 10011

Data & Society's speaker series – Databites – is geared toward engaging our network and the broader public on unresolved questions and timely topics of interest to the D&S community.

You must RSVP here to attend the talk.Livestream is available here.

Data & Society Research Institute is pleased to welcome Eric Horvitz to break down societal and technological complications of using AI.

Artificial intelligence (AI) is at an inflection point and is poised to move into the open world and into our lives in numerous ways that will have numerous influences on people and society. While AI promises to provide great value, along with the aspirations come concerns about inadvertent costs, rough edges, and failures. Concerns include failures of automation in the open world, biased data and algorithms, opacity of reasoning, adversarial attacks on AI systems, and runaway AI. Horvitz will discuss short- and longer-term challenges and discuss studies aimed at addressing concerns, including the One Hundred Year Study on AI at Stanford University and the Partnership on AI to Benefit People and Society.

Eric Horvitz is a technical fellow and director at Microsoft Research. His interests span theoretical and practical challenges in AI and he has made contributions in machine learning, perception, decision making, and human-computer interaction. His efforts and collaborations have led to fielded applications and services in healthcare, transportation, information retrieval, e-commerce, and aerospace. He received the Feigenbaum Prize and the Allen Newell Award for his technical contributions in AI. He serves on the Computer Science and Telecommunications Board (CTSB) of the National Academy of Science and the Board of Regents of the National Library of Medicine (NLM). He is the former president of the Association for the Advancement of Artificial Intelligence (AAAI) and chair of the Section on Information, Computing and Communication of the American Association for the Advancement of Science (AAAS). He has been elected fellow of the AAAI, National Academy of Engineering, American Academy of Arts and Sciences, Association for Computing Machinery (ACM) and the AAAS. He received PhD and MD degrees from Stanford University. More information and publications are available at