Beyond traditional governance: Why higher education needs a new framework for AI that includes purpose, ethics, and assurance
By
eSchool Media Contributors
Summary
This article argues that higher education's approach to AI as merely another technology to be governed and deployed is fundamentally inadequate. Unlike previous technologies, AI creates a continuously available capability for reasoning, synthesis, recommendation, interaction, and collaboration — it doesn't just execute instructions but participates in workflows, influences decisions, and contributes to knowledge creation. The piece calls for a broader framework beyond traditional governance that encompasses purpose, ethics, visibility, assurance, and compliance, urging institutions to consider what intelligent systems are helping them become.
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Key quotes
· 4 pulledHigher education continues to treat AI as just another technology to be deployed, managed, and governed. That assumption is increasingly inadequate.
While AI bears some similarities to previous technologies... it is different in that it creates a continuously available capability for reasoning, synthesis, recommendation, interaction, and even collaboration.
It does not merely execute instructions, but participates in developing workflows, influencing decisions, and contributing to the creation of knowledge.
In the age of AI, governance is about ensuring that institutions remain capable of directing what intelligent systems are helping them become.
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