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@article{185109,
        author = {B. Sri Shivendra},
        title = {Navigating the Ethical Frontier of Artificial Intelligence in Education: An Interdisciplinary Examination of Data Sovereignty, Algorithmic Equity, and Participatory Governance across Diverse Educational Ecosystems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3463-3487},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185109},
        abstract = {This study undertakes a rigorous examination of the moral and practical dilemmas arising from the increasing presence of artificial intelligence (AI) in global education. From adaptive learning environments to algorithmic management systems, digital technologies are transforming the way institutions operate. Yet, their proliferation raises critical concerns regarding equity, openness, accountability, and the stewardship of student data. These challenges are magnified by persistent socio-economic divides and uneven access to infrastructure. This risks entrenching inequality and marginalizing already disadvantaged groups.
To translate ethical principles into tangible practice, this research proposes measurable benchmarks that can be applied in real-world settings. Examples include the frequency of independent audits of AI systems, the inclusion of student perspectives in governance structures, and the degree to which policies are adopted across institutions. In doing so, it evaluates both national and international frameworks. It emphasizes the importance of inclusive, transparent, and culturally respectful approaches that uphold learner agency.
Tamil Nadu’s Safe and Ethical AI Policy is examined as an example, demonstrating how local plans can align with broader ethical goals through robust data protections, inclusive engagement with diverse groups, and shared control between humans and machines. The aim is to foster trust, promote inclusivity, and yield meaningful outcomes across diverse learning environments.},
        keywords = {Policy and Regulation in Tamil Nadu, Algorithmic Bias and Fairness, Inclusive Educational Technology, AI Frameworks},
        month = {October},
        }