I will share reflections on directions with leveraging advances in machine intelligence to develop systems that enable new forms of competent and fluid human-computer collaboration. I will describe key building blocks and larger architectures that harness machine perception, learning, and inference. Then, I will describe the composition of integrative solutions that draw upon multiple competencies and that operate over extended periods of time. Explorations of such integrative machine intelligence frame research on the coordination of multiple components for sensing and reasoning to create higher-level abstractions, functionalities, and architectures in support of human-computer collaboration and deeper symbioses.
Eric Horvitz is technical fellow at Microsoft and director of Microsoft Research Labs. His research contributions span theoretical and practical challenges with computing systems that learn from data and that can perceive, reason, and plan. His efforts have helped to bring multiple systems and services into the world, including innovations in transportation, healthcare, aerospace, ecommerce, online services, and operating systems. He has been elected fellow of the National Academy of Engineering (NAE), the Association for the Advancement of AI (AAAI), and the American Academy of Arts and Sciences and he was inducted into the CHI Academy. He received the Feigenbaum Prize and the Allen Newell Award for contributions in AI. He has served as president of AAAI, chair of the AAAS Section on Computing, and on advisory committees for the National Institutes of Health, the National Science Foundation, the Computer Science and Telecommunications Board (CSTB), DARPA, and the President’s Council of Advisors on Science and Technology. He received his PhD and MD degrees from Stanford University.
More information can be found at http://erichorvitz.com.