Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI

This study investigates the security and privacy (S&P) transparency needs of U.S. users of consumer-facing generative AI (GenAI) through semi-structured interviews with 21 participants. Findings reveal that current S&P communications often fail to influence initial adoption due to perceptions of incompleteness and lack of credibility, leading users to rely on indirect indicators like popularity instead. The research highlights the necessity for improved transparency mechanisms, including independent evaluations and user-friendly interfaces, to enhance user trust and facilitate informed decision-making in high-stakes applications of GenAI.