Policy making and enforcement using artificial intelligence (AI) are being carried out in various forms in Japan's local governments. Especially, it is positively introduced in the preparation of sustainable measures for the future society. This is a valuable method that is an efficient utilization of diverse local resources. Moreover, unlike the previous method, it is being an opportunity to improve legitimacy by visually demonstrating the creation of policy pursued by local governments. Using the various data produced by local governments, all possible scenarios can be deduced by considering all kinds of variables that may affect the local community. Thus, this method is significant; it can be utilized as an efficient and optimal means of solving the problems that the region is facing. Furthermore, AI candidates' candidacy in local elections is drawing renewed attention in terms of enhancing efficiency in local administration and budget execution. It contributes to improving administrative responsiveness by adapting the budget correspondingly to the local residents’ demand. Also, it is meaningful that the limitations of representative democracy can be supplemented by the implementation of a political system that reflects big data, local residents’ demand, and support in real-time. However, AI utilized policy making and enforcement, obviously, have limitation that AI is currently facing. The limitation of the AI utilized policy making is the Black box phenomenon—it could not explain why and how the particular scenario is made. To supplement this limitation, a policy making is conducted not only by AI but also humans. AI will be, in the future, socially notable as it could be used as a means to seek the sustainable development measure of local government.
인공지능(AI), AI정책결정, AI정치, AI후보자, 지방정치
2020.12.31 | Published. | |
2021.03.05 | DOI published. |