Resolving Real-World Social Dilemmas through Reliable and Safe Theory of Mind in AI
Japan Science and Technology Agency (JST), CREST Program,
Research Area: “[Symbiotic AI Interdisciplinary System] Creation of Interdisciplinary System Foundation for a Symbiotic and Collaborative Society with Humans and AI,”
Program Supervisor: Kiyoshi Izumi(Professor, Graduate School of Engineering, The University of Tokyo), Project adopted in FY2025
Research Team
Principal Investigator
- Kazunori Terada (Professor, Faculty of Engineering, Gifu University)
Main Co-Investigators
- Shogo Okada (Professor, School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology)
- Yukiko Nakano (Professor, Faculty of Science and Technology, Seikei University)
- Hirokazu Kumazaki (Professor, Graduate School of Biomedical Sciences, Nagasaki University)
Research Period
October 2025 – March 2031 (5.5 years)
Research Abstract
This research aims to develop AI that facilitates human win-win decision-making and resolves social dilemmas ubiquitous in real society. The project will achieve: accurate inference of individuals’ multidimensional, complex, and dynamic cognitive-affective states; multi-objective optimization generating win-win solutions with high satisfaction levels; and generation of behavior change signals that ensure psychiatric safety while preserving individual autonomy. Through this approach, we will establish a formal framework that guarantees the reliability and safety of theory of mind in AI. The approach will be validated through game-theoretic scenarios, customer support applications, and high-stakes shared medical decision-making tasks.
