Breaking Down Silos Ema, Arisa; Osawa, Hirotaka; Hattori, Hiromitsu ...
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems,
05/2017
Conference Proceeding
Ethical, legal and social implications of HCI research require a safe system for encouraging rational dialogue between ICT and social sciences and humanities researchers. However, involving ...researchers from various fields remains challenging, owing to the silo formed by researchers' diversified values. The authors are forming an interdisciplinary network, called Acceptable Intelligence with Responsibility (AIR), to build a prototype system that will help researchers become aware of different senses of values, to preventively deepen their discussions. By introducing the example of AIR research policy and field study, we expect that our concept and practice will serve a beneficial bridge for HCI and SSH researchers.
Responsible Research and Innovation (RRI) on Artificial Intelligence (AI) requires various stakeholders to discuss Human-Machine relations in the near future. Therefore, we conducted questionnaire ...surveys twice in December 2015 and February 2016. The first survey was for researchers on AI, social sciences and humanities (SSH) researchers, policy makers, SF (science fiction) writers and the public. The second survey was for AI researchers working at private industries, media, and other specialties such as law and religion. The results indicate that respondents were positive about introducing AI that requires social consensus such as driving, disaster prevention and military activities scenarios compared to others. On the other hand, scenarios that requires personal decision making such as life events tended to answer that humans take the initiatives and use AI as a tool. Being aware of the differences will enhance the implementation of AI in a variety of scenarios.
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