I will present on the promise of leveraging advances in machine intelligence to enable new forms of competent and fluid human-computer collaboration. I will first 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 a symphony of skills and that operate over extended periods of time. Explorations of such integrative machine intelligence frames research on the coordination of multiple components for sensing and reasoning to create higher-level functionalities and abstractions. Finally, I will share reflections about the promise of these efforts to advance us toward realizing dreams of deeper human-computer symbioses as imagined by such visionaries as Licklider and Engelbart.
Biography of Speaker
Eric Horvitz is a Distinguished Scientist at Microsoft Research. He has been elected Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and of the American Association for the Advancement of Science (AAAS). His research interests and activities span theoretical and practical challenges with developing computational systems that perceive, learn, and reason. His contributions include advances in principles of machine intelligence and human-computer interaction, and the fielding of applications in user interfaces, information retrieval, healthcare, operating systems, aerospace, and ecommerce. More information can be found at http://research.microsoft.com/~horvitz.