Strategic Objective
Realization of a safe and comfortable society where “humans and AI coexist and collaborate”
Research Supervisor
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).
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 |