Call for Proposal
Basic information of the Research Area
[Symbiotic AI Interdisciplinary System]Creation of Interdisciplinary System Foundation for a Symbiotic and Collaborative Society with Humans and AI
Research Supervisor
Kiyoshi IzumiProfessor, Graduate School of Engineering, The University of Tokyo
Strategic Objective
Realization of a safe and comfortable society where “humans and AI coexist and collaborate”
Overview
In this research area, we aim to advance technologies that enable the symbiosis of AI and humans, as well as the collaboration of diverse AIs, and to realize the cooperation between multiple humans and multiple AIs based on these technologies, taking into consideration factors such as reliability, fairness, and safety.
As AI is expected to become more advanced and diverse in the future, while there are high expectations for multifaceted efforts towards collaboration between humans and diverse AIs, there are also concerns that the disorderly growth of advanced AI could lead to unexpected behaviors in the real world and loss of human control. Furthermore, there is a risk that crude or malicious AI could have negative impact on society. This research area addresses these expectations and challenges by integrating insights from not only information science and technology but also from humanities and social sciences such as sociology, psychology, and economics, promoting an interdisciplinary approach.
Specifically, we will advance research and development on the following challenges: (1) acquiring the technologies and insights necessary for humans and AI to coexist safely and comfortably and to grow together, (2) creating information science technologies required for diverse AIs to collaborate, leveraging their unique characteristics in both cyber and physical domains, and (3) establishing methods to integrate and evaluate theoretical frameworks and related individual technologies in virtual and real world fields for better collaboration between multiple humans and AIs. The advancement of this research area and its projects will also take into account international standards and developments in AI risk management and regulations.
This research area participates in the Ministry of Education, Culture, Sports, Science and Technology (MEXT)’s Advanced Integrated Intelligence Platform Project on Artificial Intelligence/Big Data/IoT/Cybersecurity (AIP Project).
Research Area Advisors
| Sachiyo Arai | Professor, Graduate School of Engineering, Chiba University |
|---|---|
| Michita Imai | Professor, Faculty of Science and Technology, Keio University |
| Takayuki Ito | Professor, School of Informatics, Kyoto University |
| Kazuhiro Ueda | Professor, Graduate School of Arts and Sciences, The University of Tokyo |
| Hirotaka Osawa | Associate Professor, Science and Technology, Keio University |
| Hidenori Kawamura | Professor, Graduate School of Information Science and Technology, Hokkaido University |
| Satoshi Sekine | Project Professor, Research and Development Center for Large Language Models, National Institute of Informatics |
| Ryuichiro Higashinaka | Professor, Graduate School of Informatics, Nagoya University |
| Yuko Murakami | Professor, Graduate School of Artificial Intelligence and Science, Rikkyo University |
| Chie Moirta | General Manager, R&D Planning Division, Corporate Laboratory, Toshiba Corporation |
Schedule of Selection Process
| Deadline for application | 2025/06/03 at 12:00 noon, Japan time |
|---|---|
| Document-based review | 2025/7/11 |
| JST will contact to the interviewees no later than | 2025/7/18 |
| Interview-based review（ONLINE） ※Interview date and time will be assigned by JST. |
2025/7/25 |
Research Supervisor's Policy
Research Supervisor's Policy of this Research Area can be downloaded from below.