Safe, Ethical, Certified, Uncertainty-aware, Robust, and Explainable AI for Health First International Workshop, SECURE AI4H@AAAI 2026, Held in Conjunction with AAAI 2026, Singapore, January 27, 2026, Proceedings

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Communications in Computer and Information Science

Safe, Ethical, Certified, Uncertainty-aware, Robust, and Explainable AI for Health

First International Workshop, SECURE AI4H@AAAI 2026, Held in Conjunction with AAAI 2026, Singapore, January 27, 2026, Proceedings

Hong Qin | Apurva Narayan

Medical / Biostatistics

This book constitutes the refereed post-conference proceedings of the First International Workshop, on Safe, Ethical, Certified, Uncertainty-aware, Robust, and Explainable AI for Health, SECURE AI4H@AAAI 2026, Held in Conjunction with AAAI 2026, held in Singapore, during January 27, 2026.

The 16 full papers and 3 short papers included in this volume were carefully reviewed and selected from 60 submissions. The papers cover the following topical sections: Uncertainty, Calibration, and Reliable Prediction; Robustness, Fairness, and Explainability in Clinical Models; Trustworthy Large Language Models and Agents in Health; Governance, Security, and Deployment.


Publication Date: 27 August 2026
Publisher: Springer Nature Singapore
Imprint: Springer
ISBN-13: 9789819239238
Format: Paperback / softback
Page Count: 325

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