AI Policy Template for Higher Education

Universities need AI rules that work for three very different groups — staff, faculty, and researchers — without a committee spending a year on it. This generator produces a practical employee-facing policy covering FERPA-protected records, research data restrictions, and human-review requirements for consequential decisions, which you can adopt as an interim policy while broader governance develops.

AI risks specific to colleges and universities

• Student education records in AI tools implicate FERPA's school-official exception requirements
• Research data may carry IRB, export-control, or grant-specific AI restrictions
• Admissions or advising decisions influenced by AI require human review and bias awareness
• Faculty AI use in grading and recommendation letters raises disclosure questions

Compliance requirements your policy must address

What a complete higher education AI policy includes

• Purpose, scope, and who the policy covers (employees, contractors, volunteers)
• Approved AI tools and the process for approving new ones
• Acceptable uses — and the prohibited list, including data that must never enter prompts
• Privacy-law clauses for your jurisdictions (GDPR, EU AI Act, CCPA, PIPEDA) plus FERPA requirements
• Human review and accountability rules for AI output
• Incident reporting, enforcement, and annual review

Frequently asked questions

Does this replace a faculty senate AI policy?

It's an operational acceptable-use policy for employees. Academic-freedom and pedagogy questions (like classroom AI rules) typically layer on top through shared governance.

What about research data?

The generated policy includes a clause requiring researchers to check grant terms, IRB protocols, and export-control rules before using AI tools with research data.

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