Artificial Intelligence–Generated Deepfakes in Higher Education: Legal Risks, Governance Challenges, and Policy Reform Strategies

Abstract

Deepfake technology, powered by artificial intelligence (AI) and deep learning algorithms, has rapidly evolved into a powerful tool capable of generating highly realistic synthetic audio, video, and image content. While the technology offers several legitimate applications in education, entertainment, and digital communication, its misuse has emerged as a significant concern for higher education institutions. Universities increasingly face challenges related to academic dishonesty, identity impersonation, misinformation, cyberbullying, reputational damage, and violations of privacy. Existing legal frameworks governing information technology, intellectual property, data protection, and cybercrime often fail to adequately address the unique characteristics of AI-generated deepfakes, thereby creating substantial policy gaps. The present study examined the legal implications of deepfake technology in higher education through a qualitative doctrinal research approach. Secondary data were collected from statutory provisions, judicial decisions, policy documents, international guidelines, and scholarly literature. The collected information was systematically categorized into legal, ethical, technological, and institutional dimensions to identify existing regulatory shortcomings and future policy requirements. The findings highlighted the urgent need for comprehensive legislation, institutional governance frameworks, AI literacy programs, digital authentication mechanisms, and interdisciplinary collaboration among policymakers, educational institutions, and technology developers. The study concluded that proactive legal reforms and preventive institutional strategies are essential to safeguard academic integrity, protect stakeholders' rights, and promote the responsible use of artificial intelligence within higher education.