Japan Society for Artificial Intelligence, Ethics Committee; Japan Society for Software Science and Technology, Machine Learning Systems Engineering Group; and IEICE, Information-Based Induction Sciences and Machine Learning Group released “Statement on Machine Learning and Fairness” and will organize a symposium.

Statement on Machine Learning and Fairness

We, a group of researchers studying Machine Learning technologies and their applications (Japan Society for Artificial Intelligence, Ethics Committee; Japan Society for Software Science and Technology, Machine Learning Systems Engineering Group; and IEICE, Information-Based Induction Sciences and Machine Learning Group, hereinafter referred to as “we”) acknowledge that Machine Learning may interact with concepts of fairness in a way that is problematic. We would like to share our thoughts on how we believe the issue should be addressed and make the following two important points:
(1) Machine learning is nothing more than a tool to assist human decision making, and
(2) We are committed to improving fairness in society by studying possible uses of Machine Learning

All statement is available here, PDF is available here.

Symposium

Date: 9th January 2020
Time: 18:00 – 20:30 (hall opens from 17:30)
Venue: Hitotsubashi Hall,National Center of Sciences Building 2F,2-1-2 Hitotsubashi,Chiyoda-ku,Tokyo 101-8439
Registration: No registration required. Free to attend.

Program

18:00-18:20 Opening and introduction of the statement
18:20-18:50 Toshihiro Kamishima: Machine Learning and Fairness
18:50-19:10 Osamu Sakura: Considering Technology in Society
19:10-19:30 Arisa Ema: Social Responsibility of Science Communities on AI and Fairness
19:30-19:40 Break
19:40-20:30 Panel Discussion and Q&A
Moderator:Hiroshi Nakagawa
Panelist: Toshihiro Kamishima, Osamu Sakura, Arisa Ema

Organized by:

  • Japan Society for Artificial Intelligence, Ethics Committee
  • Japan Society for Software Science and Technology, Machine Learning Systems Engineering Group
  • IEICE, Information-Based Induction Sciences and Machine Learning Group

Supported by:

  • IEEE Computer Society Tokyo/Japan Joint Chapter, Kansai Chapter, Fukuoka Chapter
  • IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
  • The Future Society
  • AI Business Promotion Consortium
  • Japan Deep Learning Association
  • The Japan DataScientist Society
  • Japan Institute of Law and Information Systems
  • Japan Association for the Contemporary and Applied Philosophy
  • Japanese Society for Science and Technology Studies
  • Japan Association for Philosophy of Science
  • Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology,
  • AI Science Research and Development Promotion Center, National Institute of Information and Communications Technology
  • Center for Advanced Intelligence Project, RIKEN
  • Information Processing Society of Japan
  • Association of Law and Information Systems
  • National Institute of Informatics
  • The Institute of Statistical Mathematics
  • Transdisciplinary Federation of Science and Technology
  • The Japanese Society of Social Psychology
  • The Japan Statistical Society
  • Japan Law and Economics Association

Comment Form and a Reference

Comment Form

We welcome comments and questions related to Machine Learning and Fairness. We would like to involve many opinions as possible and would like to introduce it to the symposium to start a dialogue on Machine Learning and Fairness in Japan.

We welcome comments and questions to “Comment Form”

Reference

Toshihiro Kamishima, one of the panelists of the symposium published an introductory article “Fairness in Machine Learning and Data Mining”. The article can be available from 10 December 2019.

Artificial Intelligence, Vol. 34, No. 2 (2019 March)
“Fairness in Machine Learning and Data Mining”

The article is available here. Errata is available here (both in Japanese).

Contact:

Maruyama: hm2@preferred.jp