Dear colleagues,
We are pleased to invite submissions to the workshop “Ethics in Clinical AI Applications (ETHICAIA)”, to be held in conjunction with IJCAI/ECAI 2026.
🌐 Website: https://ethicaia.loria.fr/ 📍 Location: Bremen, Germany 📅 Workshop dates: August 15–17, 2026 (TBC) 📝 Submission deadline: May 15, 2026
*About the workshop*
Artificial intelligence is increasingly used in clinical contexts—supporting diagnosis, risk prediction, treatment planning, and patient interaction. However, these applications raise critical ethical challenges related to fairness, bias, accountability, transparency, privacy, and patient safety.
ETHICAIA provides a dedicated forum to explore these issues as an integral part of AI research, not as an afterthought. We particularly emphasize the connection between ethical concerns and the robustness and real-world reliability of clinical AI systems, including challenges such as data shifts, uncertainty, and deployment conditions.
We welcome contributions from across AI fields, including machine learning, NLP, computer vision, multimodal systems, and foundation models in healthcare.
*Topics of interest include (but are not limited to):*
* Fairness, bias, and representation in clinical AI * Ethical challenges in clinical decision support * Robustness and resilience under real-world conditions * Multimodal and foundation models in healthcare * Explainability, accountability, and contestability * Human–AI interaction and shared decision-making * Privacy, consent, and secondary use of clinical data * Synthetic data: benefits and ethical risks * Evaluation beyond accuracy (metrics, benchmarks, validation) * Regulatory and governance challenges * Real-world case studies and failure analyses * Ethical-by-design methodologies for clinical AI
Best regards
Roland Roller https://www.linkedin.com/in/roland-roller-a9017877/(DFKI https://www.linkedin.com/search/results/all/?keywords=%23dfki&origin=HASH_TAG_FROM_FEED),Karën Fort https://www.linkedin.com/in/karenfort/(Universite de Lorraine https://www.linkedin.com/company/universit-de-lorraine/ / LORIA),Massimo Esposito https://www.linkedin.com/in/massimo-esposito-39134183/(ICAR-CNR https://www.linkedin.com/company/icar-cnr/),Paolo Soda https://www.linkedin.com/in/paolo-soda-9622197a/(Università Campus Bio-Medico di Roma https://www.linkedin.com/company/universita-campus-bio-medico//Umeå universitet (Umeå University) https://www.linkedin.com/company/kamla-bhubneswer-b.-ed.-college/)
Dear colleagues,
The deadline has been postponed to May 25th!
We also added the possibility of Extended abstract (1 page + ref) to present projects or early work!
Best,
K
Le 06/05/2026 à 09:38, Karen Fort via Corpora a écrit :
Dear colleagues,
We are pleased to invite submissions to the workshop “Ethics in Clinical AI Applications (ETHICAIA)”, to be held in conjunction with IJCAI/ECAI 2026.
🌐 Website: https://ethicaia.loria.fr/ 📍 Location: Bremen, Germany 📅 Workshop dates: August 15–17, 2026 (TBC) 📝 Submission deadline: May 15, 2026
*About the workshop*
Artificial intelligence is increasingly used in clinical contexts—supporting diagnosis, risk prediction, treatment planning, and patient interaction. However, these applications raise critical ethical challenges related to fairness, bias, accountability, transparency, privacy, and patient safety.
ETHICAIA provides a dedicated forum to explore these issues as an integral part of AI research, not as an afterthought. We particularly emphasize the connection between ethical concerns and the robustness and real-world reliability of clinical AI systems, including challenges such as data shifts, uncertainty, and deployment conditions.
We welcome contributions from across AI fields, including machine learning, NLP, computer vision, multimodal systems, and foundation models in healthcare.
*Topics of interest include (but are not limited to):*
- Fairness, bias, and representation in clinical AI
- Ethical challenges in clinical decision support
- Robustness and resilience under real-world conditions
- Multimodal and foundation models in healthcare
- Explainability, accountability, and contestability
- Human–AI interaction and shared decision-making
- Privacy, consent, and secondary use of clinical data
- Synthetic data: benefits and ethical risks
- Evaluation beyond accuracy (metrics, benchmarks, validation)
- Regulatory and governance challenges
- Real-world case studies and failure analyses
- Ethical-by-design methodologies for clinical AI
Best regards
Roland Roller https://www.linkedin.com/in/roland-roller-a9017877/(DFKI https://www.linkedin.com/search/results/all/?keywords=%23dfki&origin=HASH_TAG_FROM_FEED),Karën Fort https://www.linkedin.com/in/karenfort/(Universite de Lorraine https://www.linkedin.com/company/universit-de-lorraine/ / LORIA),Massimo Esposito https://www.linkedin.com/in/massimo-esposito-39134183/(ICAR-CNR https://www.linkedin.com/company/icar-cnr/),Paolo Soda https://www.linkedin.com/in/paolo-soda-9622197a/(Università Campus Bio-Medico di Roma https://www.linkedin.com/company/universita-campus-bio-medico//Umeå universitet (Umeå University) https://www.linkedin.com/company/kamla-bhubneswer-b.-ed.-college/)
-- Karën Fort Prof. des Univ. en informatique / Professor in Computer Science Université de Lorraine / Loria Resp. du M2 TAL et resp. locale du Master Erasmus Mundus LCT Présidente du comité d'éthique du cluster IA ENACT Porteuse du projet ANR InExtenso (évaluation des biais dans les LLM) https://members.loria.fr/kfort LORIA : B116 / IDMC : 215
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Karen Fort