RIKEN Center for Advanced Intelligence Project AI Utilization in Society and Legal System Team
Team Leader: Hiroshi Nakagawa (D.Eng.)
Research Summary
In today's world, theory and technology of machine learning or AI is greatly developed and utilized in society. We will examine AI ethics that will guide the function and deployment of AI. We mainly focus on privacy protection, explainability, accountability, trustworthiness, and AI agents. In addition to researching related AI technologies, we will examine and analyze the current status of legal and social systems, and consider what the future should be like. Regarding the legal system, we will consider laws related to AI, such as the Personal Information Protection Law, as well as overseas legal systems such as the GDPR, which have a significant impact on Japan.
Main Research Fields
- Social Sciences & General
Related Research Fields
- Engineering
Research Subjects
- AI ethics
- Personal Data protection and Utilization by Personal AI Agent
- Legal system around AI and BigData
Selected Publications
Papers with an asterisk(*) are based on research conducted outside of RIKEN.
- 1.
Hiroshi Nakagawa et.al. (37 coauthors).:
"Personal Data and Individual Agent"
IEEE Ethically Aligned Design, First Edition, P.110-123,(2019) - 2.
Hiroshi Nakagawa et.al. (37 coauthors).:
"Personal Data and Individual Access Control"
IEEE Ethically Aligned Design, version 2, P.83-112,(2017) - 3.
Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa.:
"Personalized Anonymization for Set-Valued Data by Partial Suppression"
Transactions on Data Privacy 11(3) P. 219-237,(2018) - 4.
Yusuke Morikawa, Yasuo Tabei, Takehito Utsuro, Hiroshi Nakagawa, et.al.:
"Classification of Time Series Measurement Data for Shift Control of Automatic Transmission of Vehicles Using Machine Learning Techniques"
SAE WCS2020, World Congress Experience (Detroit, MI), Technical Paper, 20PFL-0188 , #2020-01-0260 ,(2020) - 5.
Takuma Nakagawa and Hiroshi Nakagawa.:
"Global Suppression Algorithms for Personalized Anonymization of Set-Valued Data"
Privacy in Statistical Databases 2018, Valencia, Spain. September 26-28,(2018) - 6.
*Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa.:
"Personalized Anonymization for Set-Valued Data by Partial Suppression"
the 10th International Workshop on Privacy and Anonymity in the Information Society (PAIS 2017) collocated with IEEE ICDM2017 (2017)
Related Links
Lab Members
Principal investigator
- Hiroshi Nakagawa
- Team Leader
Core members
- Douglas Arthur Sipp
- Research Scientist
- Takuya Mizukami
- Postdoctoral Researcher
- Yoichiro Itakura
- Senior Visiting Scientist
- Masatomo Suzuki
- Senior Visiting Scientist
- Hiroaki Kikuchi
- Visiting Scientist
- Arisa Ema
- Visiting Scientist
- Shigeo Kawashima
- Visiting Scientist
- Takehito Utsuro
- Visiting Scientist
- Tatsuhiko Inatani
- Visiting Scientist
- Tatsuji Takahashi
- Visiting Scientist
- Ryo Shibata
- Visiting Scientist
- Yasutaka Machimura
- Visiting Scientist
- Hirofumi Yamaki
- Visiting Scientist
- Mayu Terada
- Visiting Scientist
- Mitsuo Yoshida
- Visiting Scientist
- Tomoumi Nishimura
- Visiting Scientist
- Naonori Kato
- Visiting Scientist
Contact Information
Nihonbashi 1-chome Mitsui Building
15th floor,1-4-1 Nihonbashi,
Chuo-ku, Tokyo 103-0027, Japan
Email: hiroshi.nakagawa [at] riken.jp