Overview
Each government has begun to discuss how to disseminate AI technologies in such a way as to enrich people's lives. Some countries and organizations have already announced their principles for the future development and use of AI technology. However, making policy based on evidence from economics and social sciences that addresses potential AI-specific problems that take into account people's decisions regarding the value of the technology is not currently undertaken. In this study, we aim to propose methods of constructing institutional design for AI dissemination and use that take the people's determination of value into account.
September 7, 2020 - August 31, 2022
Major Research Results
2022
RIETI Discussion Papers
- 22-E-095
"Impact of Increasing Firms' Consumer Demand Perceptions on Market Outcomes" (TANAKA Kenta, HIGASHIDA Keisaku and MANAGI Shunsuke) - 22-E-093
"Greenness and Nighttime Light Positively Affect Human Well-being: An empirical machine learning analysis" (LI Chao and MANAGI Shunsuke) - 22-E-090
"Impact of the Rapid Expansion of Renewable Energy on Electricity Market Price: Using machine learning and shapley additive explanation" (SHIMOMURA Mizue, KEELEY Alexander Ryota, MATSUMOTO Ken'ichi, TANAKA Kenta and MANAGI Shunsuke) - 22-E-060
"Double-edged Trains: Economic outcomes and regional disparity of high-speed railways" (YOO Sunbin, KUMAGAI Junya, KAWASAKI Kohei, HONG Sungwan, ZHANG Bingqi, SHIMAMURA Takuya and MANAGI Shunsuke) - 22-J-035
「A Damage Liability Rule in a Society with Autonomously Driving Vehicles and Development of the Technology for Safety Performance」（HIBIKI Akira、SHINKUMA Takayoshi、YOSHIDA Jun）
