Keynote Speaker

Operationalizing Responsible Autonomy in Human-AI Collaboration

Abstract: In human–AI collaboration, both people and AI agents need to exercise autonomy at the right moments and within appropriate boundaries. This relies on each agent understanding what actions they can take, when they need help or resources from others, and how to interact effectively to obtain them. To support responsible autonomy in these settings, we propose using consent as a unifying abstraction. Although consent has been a part of the software ecosystem, there has been little work to understand its dynamics formally, and even less from the perspective of human expectations; this talk will address these gaps and outline research directions.

Pinar Yolum
Utrecht University

Pınar Yolum is Professor of Trustworthy AI at Utrecht University, where she leads the Responsible AI research group within the Department of Information and Computing Sciences. Her recent research focuses on human–AI collaboration, with an emphasis on trust, autonomy, and privacy. Pınar is serves on the Editorial Boards of Journal of AI Research, Journal of Autonomous Agents and Multiagent Systems, and IEEE Internet Computing. She is the program leader of the AI Master’s program at Utrecht University, co-founder of the Global Justice Investigations Lab, and an active member of the Hybrid Intelligence Center. She regularly contributes to activities to promote women participation in computer science. She is an enthusiastic reader and a restless skier.