From Guidelines to Governance: A Study of AI Policies in Education
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Abstract (arXiv)
Emerging technologies like generative AI tools, including ChatGPT, are increasingly utilized in educational settings, offering innovative approaches to learning while simultaneously posing new challenges. This study employs a survey methodology to examine the policy landscape concerning these technologies, drawing insights from 102 high school principals and higher education provosts. Our results reveal a prominent policy gap: the majority of institutions lack specialized guide-lines for the ethical deployment of AI tools such as ChatGPT. Moreover,we observed that high schools are less inclined to work on policies than higher educational institutions. Where such policies do exist, they often overlook crucial issues, including student privacy and algorithmic transparency. Administrators overwhelmingly recognize the necessity of these policies, primarily to safeguard student safety and mitigate plagiarism risks. Our findings underscore the urgent need for flexible and iterative policy frameworks in educational contexts.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 4 of its 38 references that are in the map. First posted on arXiv 22 Mar 2024.
Builds on
4 of 38 references.
References · 4
- 2023A Comprehensive AI Policy Education Framework for University Teaching and Learningcited by 34
- 2023Constructing Dreams using Generative AIcited by 8
- 2022Unpacking the "Black Box" of AI in Educationcited by 5
- 2020Smart technology in the classroom: a systematic review.Prospects for algorithmic accountabilitycited by 1
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Citing papers per year: 2024: 1; 2025: 3.
4 papers.
- 2024Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT)cited by 2
- 2025Multi-Stakeholder Alignment in LLM-Powered Collaborative AI Systems: A Multi-Agent Framework for Intelligent Tutoringcited by 2
- 2025Local Differences, Global Lessons: Insights from Organisation Policies for International Legislationcited by 0
- 2025Topic Discovery and Classification for Responsible Generative AI Adaptation in Higher Educationcited by 0
- 2025Topic Discovery and Classification for Responsible Generative AI Adaptation in Higher Education17 Dec 2025
- 2025Multi-Stakeholder Alignment in LLM-Powered Collaborative AI Systems: A Multi-Agent Framework for Intelligent Tutoring27 Oct 2025
- 2025Local Differences, Global Lessons: Insights from Organisation Policies for International Legislation19 Feb 2025
- 2024Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT)29 Mar 2024