|Author Name||KUME Koichi (Toyo University) / CHUMA Hiroyuki (Faculty Fellow, RIETI) / HAYASHI Susumu (Kyoto University) / TODA Akihito (Recruit Works Institute)|
|Creation Date/NO.||August 2017 17-J-053|
|Research Project||Comparative Studies of the Social Impacts of Artificial Intelligence (AI):From the perspectives of economics, sociology, and natural science/engineering|
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In order to make full use of the potential of new technologies including artificial intelligence, it is necessary to switch to a way of thinking and working that is friendly to technology. Regarding this subject, this paper takes up the concept of "self-evolvability" as one of the cues. Self-evolvability is defined as a mixed concept of meta-cognition, informating everything, and pursuing a shared benefit and desire of self-change. Using a survey result, we quantitatively analyzed the relationship between self-evolvability, acceptance of new technologies, provision of data, and approval/disapproval of changes in working style. We confirmed a positive effect of self-evolvability on the acceptance of new technologies even after controlling for personal attributes, cognitive and non-cognitive ability, and economic preference. The results imply that self-evolvability can be regarded as an important factor for smooth implementation of new technologies in the society.