This workshop, centered on “Medical AI and Causal Explanations,” builds upon the achievements of NTCIR-18 HIDDEN-RAD (Hidden Causality Inclusion in Radiology Report Generation) task to share causal reasoning and explanation-generation techniques across multiple domains.

Workshop Overview 

Objectives: 

• Expand causal-explanation research—originating from medical radiology reports—into law, science, finance, and other fields. 

• Share advancements in AI explainability, hallucination detection, and correction.

Key Themes: 

• Causal reasoning frameworks for professional domains (e.g., radiology, legal texts, financial reports). 

• Explanation generation techniques (Chain-of-Thought, RAG, hybrid knowledge integration). 

• Hallucination (unfounded or incorrect explanations) detection and mitigation. 

• Cross-domain transfer of causal-explanation methods.