Presentation information

Organized Session

Organized Session » OS-4

[4G1-OS-4a] 人工知能におけるプライバシー,公平性,説明責任,透明性への学際的アプローチ(1/2)

Fri. Jun 17, 2022 10:00 AM - 11:20 AM Room G (Room G)

オーガナイザ:福地 一斗(筑波大学)[現地]、荒井 ひろみ(理研)、工藤 郁子(大阪大学)

11:00 AM - 11:20 AM

[4G1-OS-4a-04] A methodology for companies to achieve AI fairness fitting for Japanese industrial structure

〇Ryo Harashima1,2, Arisa Ema1, Akira Inoue1, Toshihiro Kamishima3, Takashi Matsumoto1,2, Tokio Kibata2 (1. Univ. of Tokyo, 2. Deloitte Touche Tohmatsu LLC, 3. National Institute of Advanced Industrial Science and Technology)


Keywords:AI, fairness, Responsible AI

Recently, AI fairness and accountability have been required from ethical and social perspectives. This is true of Japan. However, to meet the requirement, it is important to note that Japanese companies tend to have various stakeholders such as development companies and service providers in their system development lifecycle. To clarify the requirement to be satisfied in terms of AI fairness, we articulate the different positions of Japanese companies that are involved in the development process. With the Japanese industrial structure, we investigate existing AI services and then map useful AI fairness technologies according to the roles of the companies. As a result, this study suggests a repository that can be used as a criterion for each company to meet the requirement of AI fairness in Japan. Moreover, the repository can be used as a reference guide for the Japanese companies that are planning to adopt AI technologies in the future.

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