AIR Newsletter Vol.2, No.2



AIR Newsletter Vol.2, No.2

本ニュースレターでは,2015年9月から11月までのAcceptable Intelligence with Responsibility (AIR)






AIR Newsletter Vol.2, No.2

The newsletter reports three AIR activities during September to November 2015.


1. Report: 5th Workshop of AIR

On September 3rd, the 5th Workshop of AIR was held to discuss contents of interview and a questionnaire survey. We agreed to aim our interview to be used as oral history data. Also, we discussed contents of a questionnaire survey to create a map of AI researchers’ diversity.

2. Report: Interview

On September 18th, we interviewed Shun Tutiya, a professor at National Institution for Academic Degrees and University Evaluation, Japan. The interview data will be uploaded soon.

3. Report: 6th Workshop of AIR

On November 21st, we held the 6th Workshop of AIR with 9 presenters at Tohoku University. The workshop was open to the public and about 30 people participated. The workshop started with talks from organizers, Arisa Ema (science and technology studies), Hiromitsu Hattori (multi-agent systems), Naonori Akiya (ethnomethodology) and Hirotaka Osawa (human agent interaction). They introduced inter-disciplinary activities of AIR. After that, 5 guests provided topics from various perspectives: Akio Yajima (Japan Science and Technology Agency) introduced AI-related funding projects; Koichi Takahashi (RIKEN/ Whole Brain Architecture Initiative) introduced artificial general intelligence (AGI) research at present; Tomohiro Inoue (Macroeconomics) showed a result of simulation of AI impact on the society; Yuri Nakao (Fujitsu Laboratories) introduced business perspective towards AI research; and Yusuke Inoue (public health/ medical ethics) suggested impacts of IBM Watson introduced to medical diagnosis.

In the last hours, the points below were freely discussed by all participants:

  • The role of academia in AI research
  • Building up common linguistic platform to discuss AI inter-disciplinary
  • Considering AI impacts step by step
  • Cautious or positive to AI development
  • Regulation and Responsibility
  • Data processing and publicness
  • About future researches