BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:251@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20250130T163000 DTEND;TZID=America/Los_Angeles:20250130T172000 DTSTAMP:20250127T233805Z URL:https://escience.washington.edu/events/uw-data-science-seminar-avi-bos e-daphne-chen-and-karen-leung/ SUMMARY:UW Data Science Seminar: Avi Bose\, Daphne Chen\, and Karen Leung DESCRIPTION:Please join us for the first talk in a special series in the UW Data Science Seminar featuring the AI@UW Seed Grant awardees. The AI@UW S eed Grant projects partner domain researchers from an applied disciplinary field with researchers specializing in AI theory and/or methodology. Thes e projects were supported by the eScience Institute in collaboration with the Office of Research\, the Paul G. Allen School of Computer Science & \; Engineering\, the Information School\, and the NSF Institute for Founda tions of Data Science (IFDS).  This seminar will feature UW Computer Scie nce and Engineering PhD students Avi Bose and Daphne Chen\, as well as UW Aeronautics and Astronautics Assistant Professor Karen Leung on Thursday\, January 30th from 4:30 to 5:20 p.m. PT.\n\n\n\nThe seminar will be held i n Hitchcock Hall 132 – Campus Map.\n"Trustworthy Human-AI Shared Autono my: Theory and Modeling"\nAbstract Human-AI interactions are becoming inc reasingly prevalent in our daily existence\, from navigating our roads and sky\, assisting in households and warehouses\, conducting daring search a nd rescue missions\, and even exploring the frontiers of space. Yet buildi ng AI systems that can seamlessly interact and adapt to diverse human user s remains an elusive task. In this talk\, we will share recent work that s tudies the theory and models for enabling trustworthy human-AI shared auto nomy\, from characterizing the performance of offline learning algorithms when deployed on new tasks\, efficiently training robot algorithms that ca n coordinate with human agents\, and interpreting multi-agent interactions via the lens of responsibility.\n\nBiography: Avi Bose is a 3rd year PhD student at Paul G.Allen School of Computer Science and Engineering at the University of Washington\, coadvised by Prof. Maryam Fazel and Prof. Lilli an Ratliff. He is very fortunate to work in close collaboration with Prof. Simon S. Du as well. As of Sep. 2024\, he is a visiting researcher at Fai r Labs\, Meta\, working with Lin Xiao.\n\n Daphne Chen is a PhD student in the Department of Computer Science and Engineering at the University of W ashington. Her research interests are in enabling intelligent agents to se amlessly learn from humans. She has received an MS in Robotics from Carneg ie Mellon University and a BS from Georgia Institute of Technology.\n\n Ka ren Leung is an Assistant Professor and the Vagners & Christianson Endowed Faculty Fellow in Aeronautics & Astronautics at the University of Washing ton. She directs the Control and Trustworthy Robotics Lab (CTRL) which foc uses on developing safe\, intelligent\, and trustworthy autonomous systems that can operate seamlessly with\, alongside\, and around humans. Before joining UW\, Karen was a research scientist at NVIDIA\, working in the Aut onomous Vehicle Research Group\, where she currently holds a partial appoi ntment. Karen received her M.S. and Ph.D. in Aeronautics and Astronautics from Stanford University\, and a combined B.S./B.E. in Mathematics and Aer ospace Engineering from the University of Sydney\, Australia. She is a rec ipient of the UW + Amazon Science Hub Faculty Research Award and received the William F. Ballhaus Prize for Best Ph.D. Thesis Award.\nThe UW Data S cience Seminar is an annual lecture series at the University of Washingto n that hosts scholars working across applied areas of data science\, such as the sciences\, engineering\, humanities and arts along with methodologi cal areas in data science\, such as computer science\, applied math and st atistics. Our presenters come from all domain fields and include occasiona l external speakers from regional partners\, governmental agencies and ind ustry.\nThe 2024-2025 seminars will be held in person\, and are free and o pen to the public. ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa ds/2025/01/MultiHeadshot_DSSeminars.jpg END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR