The TrustworthyAI4Health Workshop, co-located with the EMBL AI and Biology Conference, moves toward building private, fair, and reliable AI models for healthcare by emphasizing trustworthiness in model design, evaluation, and deployment. It unites theoretical, clinical, and benchmarking perspectives to promote responsible and transparent AI in medicine.Building on the spirit of the CAMDA Health Privacy Challenge, the workshop aims to broaden the focus to healthcare-specific aspects of trustworthiness throughout the entire AI lifecycle.
We envision this workshop as a collaborative forum for advancing trustworthy AI in healthcare, uniting machine learning researchers, privacy and fairness specialists, experts in data governance and ethics, computational health and biology researchers, bioinformaticians, and other interdisciplinary practitioners to generate new insights and practical pathways forward.
The ELSA EMBL workshop is co-located with the EMBO | EMBL Symposium: AI and biology2026. This provides an excellent opportunity to connect with communities focused on AI applications in biology. In addition, our workshop aims to engage researchers from the AI and machine learning domains who are particularly interested in privacy, fairness, explainability, and robustness. We believe the synergy between these two events will greatly enrich the participants’ experience.
