trust and responsibility in AI

This lecture explores the importance of trust and responsibility in AI, delving into human-machine interactions, models of trust, and empirical research. Applications in domains like healthcare and recommender systems are addressed, along with the overlap of trust and accountability. Guidance is provided for system builders, regulators, and users to cultivate trust in AI, while acknowledging gaps in theory and data. The session concludes by emphasizing the broader implications of trustworthy...