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Karen Myers: "Learning to Help Human Problem Solvers."

Abstract: The field of AI was motivated originally by the objective of automating tasks performed by humans. While advances in machine learning have enabled impressive capabilities such as self-driving vehicles, more cognitive tasks such as planning or design have resisted full automation because of the vast amounts of knowledge and commonsense reasoning that they require. This talk describes a line of research aimed at developing AI systems designed to augment rather than replace human capabilities, leveraging machine learning and other AI technologies. It also presents several successful applications of the research in deployed systems.

Bio: Dr. Karen Myers is a program director and principal scientist in SRI International's Artificial Intelligence Center, where she leads a team focused on developing intelligent systems that facilitate man-machine collaboration. Her research interests include autonomy, multi-agent systems, automated planning and scheduling, personalization technologies, and mixed-initiative problem solving. In addition to being widely published, she has overseen several successful transitions of her research into use both by the U.S. Government and within commercial settings. She has been an associate editor for the journal Artificial Intelligence, a member of the editorial boards for the Journal of Artificial Intelligence Research and the ACM Transactions on Intelligent Systems and Technology, and a member of the executive council for the Association for the Advancement of Artificial Intelligence. Dr. Myers has a Ph.D. in computer science from Stanford University.

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