AI in the Loop: Humans in Charge (Full Conference) скачать в хорошем качестве

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

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