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From Guidelines to Governance: A Study of AI Policies in Education

Project Overview

The document explores the integration of generative AI tools, especially Large Language Models like ChatGPT, in education, emphasizing their potential to enhance pedagogical innovation and facilitate personalized learning experiences. It highlights key applications such as personalized tutoring, automated feedback, and content generation, which can cater to diverse learning needs and improve student engagement. However, the study identifies significant gaps in policy frameworks that govern the ethical use of these technologies, particularly concerning student privacy, data security, and algorithmic transparency. While many educational institutions acknowledge the necessity of developing appropriate policies, there is a striking absence of comprehensive guidelines, particularly in high schools, which raises concerns about the safe and responsible implementation of AI in educational contexts. Overall, the findings underscore the urgent need for robust policy development to harness the benefits of generative AI while protecting students and ensuring ethical standards are met.

Key Applications

Generative AI tools, including ChatGPT

Context: Educational institutions, primarily high schools and higher education

Implementation: Survey methodology to gather insights from educational administrators regarding policies on AI tools

Outcomes: Recognition of the need for policies to ensure ethical use of AI technologies, addressing issues like student safety and plagiarism

Challenges: Lack of comprehensive guidelines, institutional reluctance to formulate policies, and gaps in addressing algorithmic transparency and bias mitigation

Implementation Barriers

Policy Gap

Majority of institutions lack specialized guidelines for the ethical deployment of AI tools. Existing or in-progress policies often overlook crucial issues like algorithmic transparency and bias mitigation.

Proposed Solutions: Establishing flexible and iterative policy frameworks that can adapt to the rapid advancements in AI technology, and incorporating comprehensive ethical considerations that specifically address AI technologies.

Institutional Reluctance

High schools are less inclined to develop policies compared to higher education institutions.

Project Team

Aashish Ghimire

Researcher

John Edwards

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Aashish Ghimire, John Edwards

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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