Artificial Intelligence (AI) is increasingly embedded in healthcare, extending from clinical and informal care settings to everyday activities like sports, transportation, and workplace environments. The use of personal data for health monitoring, therapy and care support entails data practices and raises trust, privacy and security challenges, where patients, healthcare professionals, and device providers have different notions of trust. While regulatory cornerstones like the European Health Data Space Regulation (EHDS) aim to empower individuals to share their health data in a trustworthy manner, it is still not clear how Human-Computer Interaction (HCI) research communities should balance between personalization and privacy in health monitoring contexts, implement and evaluate trust, privacy- and security-preserving mechanisms in a human-centered and transparent way, and take the interests of healthy individuals, patients, and care teams on board. At the intersection of trust, privacy, security, and health research, a shared HCI esearch agenda is needed to map visions and define safeguards for AI-supported healthcare.

This workshop will bring together clinicians, patients and the community of academic and industry researchers and practitioners in Human-Computer Interaction at the intersection of HCI, Medical Informatics, Health Informatics, Data Science, Biomedicine, Psychology, Digital Health, Area Studies, Trust, and Privacy and Security research. In this in-person workshop, we will develop a joint understanding of research visions for trust, privacy, and security in AI-supported healthcare. Together, we will define safeguards, which will be followed by a human-AI interaction prototyping session. Through this interdisciplinary and collaborative exchange, our objective is to establish a roadmap and develop safeguards that help the HCI community systematically integrate trust, privacy, and security principles into the health domain, informing academic and industrial research and evaluation practices.