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AI in the Loop: Humans in Charge (Full Conference)

Автор: Stanford HAI

Загружено: 2022-11-30

Просмотров: 1967

Описание: Human-in-the-loop artificial intelligence refers to AI decision making processes where humans may provide feedback or confirmation. During this conference, we challenged participants to rethink this phrase and consider a future where humans remain at the center of all AI technologies.

Introduction
Russ Altman: Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science, and, by courtesy, of Computer Science, Stanford University; Associate Director, Stanford HAI
James Landay: Anand Rajaraman and Venky Harinarayan Professor, School of Engineering, Professor of Computer Science, Stanford University; Vice-Director and Faculty Director of Research, Stanford HAI

Keynote: The Role of Design in Socially Responsible AI
Jodi Forlizzi: Herbert A. Simon Professor in Computer Science and HCII and Associate Dean for Diversity, Equity, and Inclusion, School of Computer Science, Human-Computer Interaction Institute, Carnegie Mellon University

Panel I: Designing for AI
Maneesh Agrawala: Forest Baskett Professor and Professor, by courtesy, of Electrical Engineering Computer Science, Stanford University
Saleema Amershi: Senior Principal Research Manager, Microsoft Research; Co-Chair, Aether Working Group on Human-AI Interaction and Collaboration
Genevieve Bell: Distinguished Professor, Director of the School of Cybernetics and 3A Institute, Florence Violet McKenzie Chair, Australian National University; Vice President; Senior Fellow, Intel Corporation
Elizabeth Gerber: Professor of Mechanical Engineering and, by courtesy, Computer Science and Professor of Communication Studies, McCormick School of Engineering, Co-Director, Center for Human Computer Interaction and Design, Northwestern University
Ben Shneiderman: Distinguished University Professor, Department of Computer Science, Founding Director, Human-Computer Interaction Laboratory, University of Maryland

Demonstration: VideoSticker - A Tool for Active Viewing and Visual Note-taking from Videos
Hariharan Subramonyam: Assistant Professor, Graduate School of Education, Stanford University; Faculty Fellow, Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Panel II: AI for Communities and Organizations
Michael Bernstein: Associate Professor, Computer Science, STMicroelectronics Faculty Scholar, Stanford University
Niloufar Salehi: Assistant Professor, School of Information, University of California, Berkeley
Melissa Valentine: Associate Professor of Management Science and Engineering, Co-Director of Science of Work, Technology, and Organization (WTO), Stanford University

Demonstration: GIMO - Gaze-Informed Human Motion Prediction in Context
Yang Zheng: Ph.D. Student, Department of Computer Science, Stanford University

Panel III: Human-centered AI Health (augmentation and assistance)
Jeff Bigham: Associate Professor, School of Computer Science, Human-Computer Interaction Institute, Language Technologies Institute, Carnegie Mellon University
Tanzeem Choudhury: Roger and Joelle Burnell Professor in Integrated Health and Technology, Cornell Tech; SVP Digital Health, Optum Labs (United Health Group)
Meredith Ringel Morris: Principal Scientist, Google Brain; Affiliate Professor, Paul G. Allen School of Computer Science & Engineering and The Information School, University of Washington
Carla Pugh: Thomas Krummel Professor of Surgery, Director of the Technology Enabled Clinical Improvement (T.E.C.I.) Center, School of Medicine, Stanford University

Closing Remarks
Russ Altman
James Landay

This conference took place on Nov. 15, 2022. Learn about other HAI events here: https://hai.stanford.edu/events

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