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Bridging the AI Divide: Equity, Integrity, and the Governance of Generative AI in Higher Education
Abstract
Generative artificial intelligence (GenAI) is rapidly reshaping higher education, offering personalised learning, administrative automation, and global reach. Yet these benefits are unevenly distributed and risk magnifying long-standing inequities. This conceptual chapter synthesises contemporary scholarship (2022–2025) to map GenAI's “dual reality”: its capacity to enhance educational quality and its potential to entrench an AI divide driven by resource differentials, digital infrastructure gaps, and algorithmic bias. We analyse three structural fault lines—tiered access, resource disparities, and biased tools—and link our critique to The Manifesto for Teaching and Learning in a Time of Generative AI. Building on this diagnosis, we advance an integrated framework that couples democratised access (open-source platforms, equity-focused partnerships, and targeted funding) with transparent, inclusive governance rooted in data justice and AI literacy.
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