"We are not Future-ready" - Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe

Explore AI privacy challenges through a research presentation examining how European AI developers perceive and address privacy risks in artificial intelligence systems. Learn about findings from interviews with 25 AI developers regarding privacy threats affecting users, developers, and businesses across training data, model interfaces, and downstream applications. Discover the lack of consensus among developers on privacy risk rankings and understand how human factors influence their reasoning patterns beyond purely technical considerations. Examine the gap between awareness and adoption of privacy mitigation strategies in real-world AI development practices. Gain insights into current limitations and future opportunities for empowering AI developers to better protect privacy in AI systems, based on research conducted by teams from Technical University of Munich and Google presented at the USENIX Symposium on Usable Privacy and Security (SOUPS) 2025.