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Students, faculty, staff and researchers across higher education are already using AI; however, institutions cannot always see, govern or support how AI is being used. Shadow AI is not simply a compliance problem, it is a signal of unmet demand.
Join our complimentary webinar and learn how Shadow AI is leaving gaps in campus access and data sovereignty, and how higher education institutions can evaluate Shadow AI through four lenses: demand, data, experience and governance.
Specifically, we will discuss:
- Why Shadow AI is a signal of unmet demand across higher education
- Why restriction without a sanctioned alternative can make AI use less visible
- Where licensing alone can leave gaps around whole-campus access, data sovereignty, and multi-model flexibility
- How agentic AI introduces new governance considerations
- How to evaluate Shadow AI through four lenses: demand, data, experience, and governance
- What architectural and operational capabilities a governed, campus-wide AI environment requires