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2022 HAI Fall Conference on AI in the Loop: Humans in Charge | Stanford HAI

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eventConference

2022 HAI Fall Conference on AI in the Loop: Humans in Charge

Status
Past
Date
Tuesday, November 15, 2022 9:00 AM - 5:00 PM PST/PDT
Location
Paul Brest Hall, 555 Salvatierra Walk, Stanford, CA 94305
Overview
Agenda
Presentation Titles & Abstracts
Speakers
Recordings
Meet the Speakers
Maneesh Agrawala
Forest Baskett Professor of Computer Science, and, by courtesy, of Electrical Engineering, Stanford University
Russ Altman
Russ Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Computer Science
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
Michael S. Bernstein
Associate Professor of Computer Science | Senior Fellow, HAI | STMicroelectronics Faculty Scholar, Stanford University
Jeffrey 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)
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
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
James Landay
Denning Co-Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University
Meredith Ringel Morris
Principal Scientist, Google DeepMind; 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
Niloufar Salehi
Assistant Professor, School of Information, University of California, Berkeley
Ben Shneiderman
Distinguished University Professor, Department of Computer Science, Founding Director, Human-Computer Interaction Laboratory, University of Maryland
Hariharan Subramonyam
Ram and Vijay Shriram HAI Faculty Fellow, Assistant Professor (Research) of Education
Melissa Valentine
Associate Professor of Management Science and Engineering, Stanford | Senior Fellow, Stanford HAI | Co-Director of Science of Work, Technology, and Organization (WTO), Stanford
Yang Zheng
Ph.D. Student, Department of Computer Science, Stanford University
Overview
Agenda
Presentation Titles & Abstracts
Speakers
Recordings
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Event Contact
Celia Clark
celia.clark@stanford.edu
Related
  • Russ Altman
    Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Computer Science
    Russ Altman
  • James Landay
    Denning Co-Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University
  • I Launched the AI Safety Clock. Here’s What It Tells Us About Existential Risks
    TIME
    Oct 13
    media mention

    Despite huge advancements in machine learning and neural networks, AI systems still depend on human direction. This article references HAI's 2022 conference where attendees were encouraged to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.

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