Search and Filter

Repository Feedback

Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.

Submit feedback

Submit a research study

Contribute to the repository:

Add a paper

The Comparative Analysis of National Policies for Research and Education Regarding Usage of Generative AI in Japan, the USA and the UK

Authors
Saito,
Nagayuki
Date
Publisher
IDEAS
Generative AI is rapidly proliferating in society and its impact extends to education and research. This study analyzes the impact of generative artificial intelligence (AI) in the field of education and research from an international perspective and compares it with Japan's educational policies. The findings revealed that the U.S. policies emphasize the personalization and adaptability of AI in education, whereas the U.K. has specified concrete measures against the negative aspects of generative AI, particularly its misuse. In contrast, the Japanese policy has adopted a strategy of delineating issues in education and research to support individual educational institutions in their policymaking regarding AI.
Study at a glance
  • Question: How do national policies on generative AI in education and research compare across Japan, the US, and the UK?
  • Setting and data: National education and research policies in Japan, the United States, and the United Kingdom.
  • Method: Comparative policy analysis
Why it matters

Generative AI is rapidly proliferating in society, and its impact extends to education and research.

Key findings
  • In national policies across the U.S., U.K., and Japan, United States policies emphasize using generative AI for personalized and adaptable learning.
  • United Kingdom policies specify concrete measures to address the negative aspects of generative AI, particularly preventing its misuse.
  • Japanese policy outlines key educational and research issues to assist individual institutions in creating their own generative AI guidelines.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

Who is the user?