Scholar
Yuri Nakao
Google Scholar ID: X9sw2twAAAAJ
Fujitsu Limited, The University of Tokyo
Citations & Impact
Citations
317
H-index
7
i10-index
6
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- 1. August 2023: Best Paper Award 2022 (ACM Transactions of Interactive Intelligent Systems), 'Toward Involving End-users in Interactive Human-in-the-loop AI Fairness'
- 2. November 2022: Excellent Presentation Award, 'Investigation of a Method to Integrate Preferences for Different AI Indicators by Stakeholders', Japanese Society for Artificial Intelligence
- 3. October 2018: 17th DoCoMo Mobile Science Award, Sociology Section, Encouragement Award (Team Award), 'Research on a Methodology for Social System Design Based on the Integration of Social Science and Mathematical Science', NPO Mobile Communication Fund
Research Experience
- 1. July 2025 - Present: Fujitsu Limited, Fujitsu Research Data & Security Institute, Research Director
- 2. September 2022 - Present: Aoyama Gakuin University, Graduate School, Part-time Lecturer
- 3. December 2024 - June 2025: Fujitsu Limited, Fujitsu Research, Senior Research Manager
- 4. April 2021 - November 2024: Fujitsu Limited, Fujitsu Research
- 5. April 2015 - March 2021: Fujitsu Laboratories Ltd.
- Main research areas include AI development methodologies based on technology philosophy, interactive machine learning with fairness considerations, etc.
Education
- 1. April 2021 - Present: University of Tokyo, Graduate School of Arts and Sciences, Interdisciplinary Science Program
- 2. April 2013 - March 2015: University of Tokyo, Graduate School of Arts and Sciences, Interdisciplinary Science Program (Advisor: Hiroko Fujigaki)
- 3. April 2011 - March 2013: University of Tokyo, College of Arts and Sciences, Interdisciplinary Science Department
- 4. April 2009 - March 2011: University of Tokyo, College of Arts and Sciences, Division of Natural Sciences I
Background
- Research interests include Responsible Research and Innovation, Social Mathematics, Human-Computer Interaction, and Science, Technology, and Society (STS). Specializes in the application of technology philosophy, fairness, transparency, and accountability in machine learning, as well as supporting individuals with hearing impairments through interactive tools.
Miscellany
- Personal interests not explicitly mentioned, but actively involved in multiple academic organizations and committees, such as a member of the Ministry of Economy, Trade and Industry's AI Business Guidelines Discussion Committee, and a member of the Institute of Electrical Engineers of Japan's Machine Learning Technology Investigation Special Committee.
Co-authors