CREST

Japan Science and Technology Agency Strategic Basic Research Programs
Strategic Basic Research Programs

[Symbiotic AI Interdisciplinary System] Creation of Interdisciplinary System Foundation for a Symbiotic and Collaborative Society with Humans and AI

Strategic Objective

Realization of a safe and comfortable society where “humans and AI coexist and collaborate”

Research Supervisor

Kiyoshi Izumi

Kiyoshi Izumi

Professor, Graduate School of Engineering, The University of Tokyo

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 Special Appointed Professor, Research Department, The National Institution for Academic Degrees and Quality Enhancement of Higher Education
Takayuki Ito Professor, Graduate School of Informatics, Kyoto University
Michita Imai Professor, Faculty of Science and Technology, Keio University
Kazuhiro Ueda Professor, Graduate School of Arts and Sciences, The University of Tokyo
Hirotaka Osawa Professor, Faculty of Science and Technology, Keio University
Hidenori Kawamura Professor, Graduate School of Information Science and Technology, Hokkaido University
Satoshi Sekine Project Professor, National Institute of Informatics, Research Organization of Information and Systems
Ryuichiro Higashinaka Professor, Graduate School of Informatics, Nagoya University
Yuko Murakami Professor, Graduate School of Artificial Intelligence and Science, Rikkyo University
Chie Morita General Manager, Corporate Laboratory, Toshiba Corporation

Research Projects

  1. Year Started : 2025
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