Keio University

Challenge Grant: Toward the Realization of Explainable Computing Environments

Publish: June 30, 2025
KGRI

Creativity

Summary

In recent years, AI tools based on deep learning have rapidly evolved, and the issues surrounding the explainability of Large Language Models (LLMs) are becoming increasingly serious. This study aims to present concrete methodologies using logical approaches to address the various issues related to the explainability and fairness of computing environments that influence our social lives. We seek to promote Japan-France research collaboration and explore explainability models of LLMs that lead to societal benefits.

Project Members

Note: ◎ indicates the project leader

Project Members

Principal Investigator

Koji Mineshima

Associate ProfessorFaculty of LettersDirector of Research Activities

Mitsuhiro Okada

Professor EmeritusFaculty of LettersAnalysis of Fairness and Explainability in Computational Environments

Yuichiro Hosokawa

LecturerGunma Prefectural Women's University, Department of Culture and InformaticsPhilosophical Logic, Practical Reasoning, and Application of Counterfactual Conditionals to Explainability Issues