DEVELOPING A FRAMEWORK FOR ETHICAL IMPLEMENTATION OF GENERATIVE AI IN EDUCATION

Abstract

This research examines key ethical points related to using generative artificial intelligence (AI) in education. As AI technologies advance, their application in creating personalized learning materials and automating educational tasks raises significant ethical challenges, including data privacy, algorithmic bias, authorship, and the evolving role of educators. This research presents a comprehensive ethical framework designed to guide educational institutions in the responsible implementation of generative AI. Through a systematic analysis of existing global guidelines, academic literature, and the identification of key gaps, this study develops actionable strategies to mitigate potential risks and ensure equitable AI-driven learning experiences. The proposed framework emphasizes context-specific guidelines, practical implementation steps, and continuous stakeholder engagement. A detailed case study illustrates the framework’s application in a real-world educational scenario. This research contributes to the nascent field of ethical AI in education by providing a practical tool for institutions to navigate the complex ethical landscape, fostering a culture of responsible AI adoption and enhancing student learning outcomes while safeguarding fundamental rights and values.

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