Examination of Commonality of Policy Issues Related to AI Development and Dissemination in Major Developed Countries

Abstract

Artificial intelligence (AI) will rebuild the economy, increase productivity, improve efficiency and reduce costs, contribute to making informed decisions. There are great expectations for AI to drive innovation and growth. As the effects of AI permeate society, the power of change must be exerted for society. On the other hand, AI also raises ethical concerns. There are issues regarding the credibility of AI systems, including the risk of infringement of gender, privacy, human rights, and values. There is also growing concerned that AI systems may exacerbate the digital divide. Therefore, for greater value, AI development and operation require international cooperation and multi-stakeholder cooperation. This study categorized important policy issues in AI development and operation by analyzing text data on AI policies of Group of Seven (G7) member countries, which are major developed countries. As a result of the analysis, policy issues related to labor market optimization, skill improvement related to AI, privacy protection, accountability, security, and safety are clarified, and it is important to implement policies in international cooperation to solve these issues. In this study, by analyzing text data on AI policies of Group of Seven (G7) member countries, which are major developed countries, we categorized important policy issues in AI development and operation in those countries. Furthermore, in formulating the policy, it is important that establish a multi-stakeholder system including industry, social groups, consumer groups, local governments, etc., and establish a policy framework to promote ethical behavior in the industries.



Author Information
Nagayuki Saito, International Professional University of Technology in Tokyo, Japan

Paper Information
Conference: BAMC2021
Stream: Politics and Philosophy

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Posted by amp21