Eric Horvitz

Technical Fellow & Director, Microsoft Research Labs

Pursuing research on principles of machine intelligence and on leveraging the complementarities of human and machine reasoning. Deeply curious about the computational foundations of intelligence. Passionate about harnessing computing advances to enhance the quality of peoples' lives through insights, services, and wellness. The Microsoft Research home page is a starting point for learning about people and projects at Microsoft Research labs across the world. You can hear directly from folks at the Labs via our podcast series.

    Publications      For the general reader

Recent events

Research overview

I've long been curious about the computational foundations of intelligence: How do our minds work? What computational principles and architectures underly thinking and intelligent behavior? I've pursued answers via studies of machine perception, learning, reasoning, and decision making. Many questions remain unanswered and much research is to be done. On the way to a deeper understanding, I work with colleagues to field working systems that can immediately deliver value in the world. Projects include efforts in time-critical decisions, information retrieval, healthcare, urban infrastructure, sustainability, and development--with goals of understanding how computational models perform amidst real-world complexities, and of deploying systems that deliver value to people and society. A key focus of my work has been on opportunities to leverage the complementarities of human and machine intelligence. Related interests include machine learning and decision making for crowdsourcing and human computation, information triage and alerting that takes human attention into consideration, spanning work on notification systems, surprise modeling, multitasking, and psychological studies of interruption and recovery. On the more theoretical front, I've been long interested in offline and real-time optimization of the expected value of computational systems under limited and varying resources. Areas of concentration in this realm include flexible or anytime computation, ideal metareasoning for guiding computation, compilation for reducing real-time deliberation, ongoing, continual computation, and the construction of bounded-optimal reasoning systems--systems that maximize the expected utility of their behavior in an environment, given the expected costs of reasoning, the problems encountered over time, and assertions about a system's constitution. Research in this arena includes tackling hard reasoning problems with learning and decision making methods.

Activities

Serving on the scientific advisory boards of the Allen Institute for AI (AI2) and the Simons Institute, on the National Library of Medicine (NLM) Board of Regents, the Computer Science and Telecommunications Board (CSTB), and the External Advisory Board of the Center for Causal Discovery (CCD). In the realm of influences of AI on people and society, co-founder of the One Hundred Year Study on AI (AI100) and serve on the board of the Partnership on AI. Prior roles include service as president of the Association for the Advancement of Artificial Intelligence (AAAI), chair of the AAAS Section on Information, Computing, and Communication, and on the advisory board of NSF's Computer and Information Science and Engineering (CISE) Directorate, the Naval Research Advisory Committee (NRAC), and DARPA's Information Science & Technology (ISAT) Study Group.

Elected fellow of the AAAI, ACM, AAAS, ACMI, American Academy of Arts and Sciences, American Philosophical Association, and National Academy of Engineering (NAE), and inducted into the CHI Academy.

Blast to the relevant past




Several links



horvitz@microsoft.com       @erichorvitz       One Microsoft Way, Redmond WA 98052