Tetsunari Inamura

Creating a Proactive Society through Behavior Transformation in Co-living with Self-Mirroring Twins

Grant No.：JPMJCR2561

Research Director

Tetsunari Inamura

Collaborator

Minoru Asada	Specially-Appointed Professor Open and Transdisciplinary Research Initiatives The University of Osaka
Makoto Kureha	Associate Professor Faculty of Global and Science Studies Yamaguchi University
Shingo Shimoda	Designated Professor Graduate School of Medicine Nagoya University
Takato Horii	Associate Professor Graduate School of Engineering Science The University of Osaka

Outline

We will establish a methodology for applying Self Mirroring Twins (SeMT) —a twin‑like agent whose self-other boundary can be continuously tuned— to support lifestyle improvement and rehabilitation. We will demonstrate the effectiveness of technologies that foster self‑directed behavior change. The project comprises five interlinked research components: platform development, rehabilitation‑assist applications, computational models of behavior change, evaluation of brain activity and biosignals, and the formulation of ELSI guidelines. Working in concert, these components will implement a future social model in which coexisting with AI makes personal growth easier.

Kazutoshi Sasahara

Trust-Oriented Social AI Design for Overcoming an Uncertain Society

Grant No.：JPMJCR2562

Research Director

Kazutoshi Sasahara

Collaborator

Tasuku Igarashi	Professor Graduate School of Education and Human Development Nagoya University
Isao Echizen	Professor National Institute of Informatics Research Organization of Information and Systems

Outline

In today’s society, where the spread of fake news undermines social trust, this study aims to establish a design theory for trust-oriented social AI, toward realizing a symbiotic society in which humans and AI collaborate based on trust. By introducing a mechanism that enables AI to estimate and adjust trust readiness, it promotes the co-creative construction of trust. Through interdisciplinary research in computational social science, cognitive security, and social and personality psychology, this study will develop a new information infrastructure to strengthen societal resilience against fake news.

Kazunori Terada

Resolving Real-World Social Dilemmas through Reliable and Safe Theory of Mind in AI

Grant No.：JPMJCR2563

Research Director

Kazunori Terada

Collaborator

Shogo Okada	Professor Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology
Hirokazu Kumazaki	Professor Graduate School of Biomedical Sciences Nagasaki University
Yukiko Nakano	Professor Faculty of Science and Technology Seikei University

Outline

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.

Itsuki Noda

Community System Design by MASS with Mesoscopic Hierarchical Modeling

Grant No.：JPMJCR2564

Research Director

Itsuki Noda

Collaborator

Munenari Inoguchi	Professor College of Policy Science Ritsumeikan University
Ryo Kanamori	Designated professor Institute of Innovation for Future Society Nagoya University
Nobutsugu Kanzaki	Professor Faculty of Global Liberal Studies Nanzan University
Yuko Sakurai	Professor Graduate School of Engineering Nagoya Institute of Technology
Hiromitsu Hattori	Professor College of Information Science and Engineering Ritsumeikan University

Outline

We aim to establish MASS technologies incorporating mesoscopic hierarchical modeling, game-theoretic analysis, and simplifying techniques for human activities in local communities. Building on these methods, we will develop an engineering framework that facilitates consensus-building and continuous improvement in the design of community services and policy-making, including contexts where people coexist with AI. As concrete case studies, we will address transportation, disaster prevention, and urban development, and will construct methods of computational social engineering not only as technical mechanisms but also as new tools in the humanities and social sciences for envisioning future societies.

Daisuke Bekki

The Nexus of Human-LLM Interaction: A Multidisciplinary Linguistic Approach to Building a Collaborative Feedback Loop

Grant No.：JPMJCR2565

Research Director

Daisuke Bekki

Collaborator

Yohei Oseki	Associate Professor Graduate School of Arts and Sciences The University of Tokyo
Daisuke Kawahara	Professor Faculty of Science and Engineering Waseda University
Takuya Matsuzaki	Professor Faculty of Science Division I Tokyo University of Science
Hitomi Yanaka	Associate Professor Graduate School of Information Science and Technology The University of Tokyo

Outline

Despite their capabilities, large language models (LLMs) face significant challenges in validation and improvement when applied to real-world tasks. This research proposes a solution using linguistic pipelines as a mediating framework. First, we will investigate the performance limits of both LLMs and linguistic pipelines in natural language understanding. Second, we will establish a feedback loop where linguistic pipelines, which are manageable by linguists, can validate the reasoning of LLMs and provide a reward model for improvement. This framework creates a collaborative workflow where linguistic experts work alongside engineers throughout the development and operational lifecycle of LLMs, ensuring a principled and verifiable approach to their deployment.

Taro Maeda

Establishing Nonverbal Communication Channels to Promote Human AI Coexistence and Collaboration

Grant No.：JPMJCR2566

Research Director

Taro Maeda

Collaborator

Hiroyuki Iizuka	Associate Professor Center for Human Nature, Artificial Intelligence, and Neuroscience Hokkaido University
Norihiko Saga	Professor School of Engineering Kwansei Gakuin University

Outline

The objective of this research is to address the challenges of achieving mutual understanding between humans and AI by leveraging non-verbal communication channels, particularly body language. Through proprietary technology that learns and externalizes the wearer’s bodily responses, an auxiliary non-verbal network is being built to support collaboration between humans and AI, between AI systems, and between multiple humans and multiple AI systems. By enabling support for mutual understanding that does not rely solely on verbal communication, we aim to advance the realization of a society in which humans and AI coexist and collaborate.