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POLICY AND PRACTICE REVIEWS article
Front. Artif. Intell.
Sec. AI for Human Learning and Behavior Change
Volume 8 - 2025 | doi: 10.3389/frai.2025.1546064
Legal regulation of ai-assisted academic writing: challenges, frameworks, and pathways
Provisionally accepted- 1 University of New South Wales, Kensington, New South Wales, Australia
- 2 Naval Medical University, Shanghai, Shanghai, China
Comprehensive legal framework for AI-assisted academic writing, integrating copyright protection, academic integrity, and data security dimensions by analyzing judicial practices, institutional policies, and emerging cases. Courts tend to position AI as a creative tool while emphasizing human agency, suggesting a pragmatic approach to resolving copyright disputes in AI-assisted academic writing. The analysis of guidelines from publishers and institutions reveals new risks associated with AI-assisted writing, including "credibility illusion", implicit plagiarism, and weakening critical thinking skills. A three-dimensional regulatory framework (transparency, accountability, technical support) is proposed, providing actionable guidance for institutions to develop AI usage policies. The study synthesizes data from multiple sources, including court decisions, institutional policies of elite universities, and international regulatory frameworks, offering evidence-based recommendations for legal regulation. Constructed a risk assessment matrix that quantifies risks through three dimensions (impact, probability, cost), visualizing the magnitude of comprehensive risks.
Keywords: artificial intelligence, Academic writing, Copyright protection, academic integrity, data security, legal regulation
Received: 16 Dec 2024; Accepted: 18 Mar 2025.
Copyright: © 2025 Gao, Yu, BIAO, Hua, Hui, Gao and Yin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
GAO BIAO, Naval Medical University, Shanghai, 200433, Shanghai, China
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