일본에서 AI 정책결정과 지역과제 해결

Abstract

The introduction of technology into the local problem-solving process is an opportunity to diversify the means that the region can choose. It will be possible to solve problems with a different response scenario from the conventional one. In this sense, AI and robotics technology will also be a new and efficient means of solving problem. In this paper, we analyze examples from Nagano Prefecture and Hyogo Prefecture, where local data is used to make AI policy decisions. We also analyze examples from the Fukushima region, where AI robots are used to solve local educational problems.
 In the case of Nagano Prefecture, an AI policy proposal was made with the aim of creating a sustainable community until 2050. Nagano Prefecture is implementing a human resource development project to respond to the declining population in the region. It also promotes policies to promote the circulation of local resources. Hyogo prefecture is conducting AI analytics to address regional issues related to the widening regional disparities, declining population, and aging population. AI presents twenty thousand different policy scenarios based on local data. The AI policy decision calls for the development of the health, medical, and nursing systems necessary to extend the healthy life expectancy of people over sixty five by 2040.
 The Fukushima area has faced the challenges of losing its population and raising the level of education in the area since the nuclear disaster. To solve these issues, English and programming education using AI robots is being conducted at a local Center for Early Childhood Education and Care. AI robot classes are highly satisfying not only for children but also for parents. AI robot classes are also effective for AI literacy education.
 In order to ensure the sustainability of any region in the future, it will be necessary to make efficient use of local resources. This analysis shows that the use of AI robotics technology is an effective means of solving the problems faced by the region, and it is also a new means.