Biography
Ms. Moutushi Thakur is currently an Assistant Professor at the Koneru Lakshmaiah Education Foundation KL(Deemed to be) University,Andhra Pradesh, India. Her teaching and academic work centers on law and legal education, with particular focus on child protection law, health and environmental law, and legal pedagogy. Among her notable contributions are, peer-reviewed publications examining institutional child care in India, and on medical care compliance for children in protective institutions. Her current research interests lie in child welfare and protection law, institutional care systems, intellectual property rights, and outcome-based legal education, reflecting a sustained engagement.
Conference contributions 1
ARTIFICIAL INTELLIGENCE AND ACADEMIC INTEGRITY:
Legal and ethical challenges in higher education
The fast integration of Artificial Intelligence (AI) into higher education has changed teaching, learning, assessment, and research practices. Innovative generative AI tools, such as large language models, automatic content generators, and intelligent tutoring systems, offer unprecedented opportunities to improve educational access, deliver more tailored learning, and boost research output. However, these technological advancements also raised major concerns about academic integrity, authorship, originality, responsibility, and ethical behaviour. The use of AI in academic and intellectual contributions challenges the traditional idea of plagiarism, research integrity, and authenticity. This paper examines the legal and ethical side of AI-assisted academic work in higher education and critically examines emerging challenges associated with AI-generated academic contributions. Through a doctrinal and comparative analysis, the paper highlights the need for balanced governance mechanisms that promote innovation while safeguarding academic morality and ethical standards. The paper argues that effective use of AI in higher education requires robust institutional policies, ethical guidelines, and effective assessment policies. The paper concludes with recommendations for educators, policymakers, and higher education institutions to foster responsible AI use while keeping the core values of academic integrity, fairness, and trust.