Tailwind
AI Policy Monitor

How higher ed is governing AI in United Kingdom.

Published AI policies across the United Kingdom higher education, classified by stance, maturity, and audience. 133 institutions tracked. Updated Apr 29, 2026.

133 Institutions monitored
21.1% Have a verified AI policy
19 Policies classified
Conditional Most common stance

When campuses first put AI policy on paper

First-adoption year for 10 dated policies.

What posture do policies take?

7 classified policies, by stance.

Conditional: 7 (100%) Permissive: 0 (0%) Prohibitive: 0 (0%) Encouraged: 0 (0%) Unclear: 0 (0%) 100% Conditional
  • Conditional 100%
  • Permissive 0%
  • Prohibitive 0%
  • Encouraged 0%
  • Unclear 0%

Who has a policy, by institution type

Share of each type with a verified AI policy.

University 21.1%

Do policies require a human in the loop?

Share of classified policies that explicitly require human oversight.

University 16.9%

Which AI tools do policies actually name?

Number of institutions that name each tool.

ChatGPT / OpenAI 69
Copilot 52
Gemini / Google 46
Claude / Anthropic 29
Midjourney 23
Perplexity 15
Stable Diffusion 5
Llama / Meta 3

How far along is the sector?

All 133 monitored institutions, by policy maturity.

  • Comprehensive 10
  • Developing 80
  • Minimal 31
  • No policy yet 12

What the stances mean: Conditional — allowed with guardrails · Permissive — broadly allowed · Prohibitive — restricted or banned · Encouraged — actively promoted · Unclear — no clear position

Method: institutions are drawn from public directories, AI policy pages discovered via search, verified by crawl, and archived in monthly snapshots. Snapshots are classified by an LLM on a locked rubric. Smaller systems show fewer data points. Percentages use classified policies as the denominator unless noted.