Serena Booth - Soliciting and Interpreting Human Preferences

Talking Robotics #91 Speaker Serena Booth Title Soliciting and Interpreting Human Preferences Speaker Bio Serena Booth is an Assistant Professor of Computer Science at Brown University. Her research develops methods for enabling AI systems and robots to learn from imperfect human input. She studies reward design and other approaches for inferring and evaluating AI specifications to build systems that better align with human intentions. Serena also studies the governance of AI systems. She served as a AAAS AI Policy Fellow in the U.S. Senate, where she worked on AI, consumer protection, economic policy, and labor, and she currently co-chairs the ACM Technology Policy Subcommittee on AI and Algorithms. She received her Ph.D. from MIT CSAIL in 2023 and her A.B. from Harvard College in 2016. Speaker Links: Personal Website: https://slbooth.com Lab Website: https://cs.brown.edu/people/faculty/s... Chapters 00:00 Presenter Introduction 01:10 Presentation 33:04 Q&A 49:45 End Talking Robotics is a series of virtual seminars about Robotics and its interaction with other relevant fields, such as Artificial Intelligence, Machine Learning, Design Research, Human-Robot Interaction, among others. We aim to promote reflections, dialogues, and a place to network. Organized by Silvia Tulli, Riddhiman Laha, Nitin Ragothaman, and Niveditha Kalavakonda. Email: talkingrobotics at gmail dot com Web Page: https://talking-robotics.github.io Twitter: @talkingrobotics