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

328 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Communications in Computer and Information Science
• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik
• ISBN: 9789819239238
• Sprache: Englisch
• Erscheinungsdatum: 28.10.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore
• Herausgegeben von: Hong Qin, Apurva Narayan