ELSA Workshop “TrustworthyAI4Health: Toward Trustworthy AI Modeling for Computational Healthcare”

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.

Call for Posters

We invite submissions addressing any of the key areas of interest:

• Privacy & Security

• Fairness

• Interpretability & Explainability

• Robustness & Uncertainty

• Human-AI Trust

• Benchmarks & Evaluation

The call is open until January 26, 2026