Rethinking AI governance in higher education: From compliance to adaptive frameworks
By
eSchool Media Contributors
Summary
This article argues that higher education institutions are developing AI governance frameworks focused on compliance, risk management, and technology control, but these approaches are becoming insufficient as AI evolves from a controlled software tool to an abundant, continuously available intelligent system. The author contends that governance must shift from a compliance-centric model to one that addresses the fundamental changes AI brings to institutional operations, decision-making, and educational delivery.
Source
bskyRethinking AI governance in higher education: From compliance to adaptive frameworksecampusnews.comKey quotes
· 3 pulledThese efforts are necessary, but they are also increasingly insufficient because they are built around an assumption that governance is primarily about controlling technology and managing risk.
While this may have been adequate in the past, AI fundamentally changes the equation.
Institutions are no longer simply governing software platforms or isolated systems.
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