Description
The swift adoption of artificial intelligence (AI) in scholarly inquiry presents pressing ethical and fairness dilemmas, especially in the Global South, where gaps in resources and technology access intensify pre-existing inequities. We propose a policy framework consisting of four parts to tackle these challenges in doctoral research, with the aim of aligning AI adoption with ethical standards and equitable access. The framework introduces AI-driven research authorization, where students specify AI application objectives under mentor supervision, conceptual proficiency evaluation via dynamic AI-formulated queries to gauge understanding, and obligatory digital validation for mentors to establish authorship via knowledge graph examination. Furthermore, a course designed to teach AI literacy to underrepresented students reduces the digital gap by promoting ethical and imaginative engagement with artificial intelligence. The framework substitutes conventional evaluation procedures, including detection of copied content, with stronger approaches emphasizing guidance and intellectual responsibility. Our approach not only safeguards academic integrity but also promotes inclusive AI adoption, thereby addressing systemic disparities in doctoral education. The policy’s importance stems from its ability to adjust to current research procedures, its emphasis on fairness, and its capacity to act as a blueprint for other areas facing comparable difficulties. The synthesis of these elements yields a scalable framework that harmonizes progress with responsibility, guaranteeing AI functions as an instrument for inclusion rather than marginalization.
