Tailwind
AI Policy Monitor

How higher ed is governing AI in Australia.

Published AI policies across Australia higher education, classified by stance, maturity, and audience. 42 institutions tracked. Updated Apr 29, 2026.

42 Institutions monitored
33.3% Have a verified AI policy
17 Policies classified
Conditional Most common stance

When campuses first put AI policy on paper

First-adoption year for 7 dated policies.

What posture do policies take?

8 classified policies, by stance.

Conditional: 8 (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 33.3%

Do policies require a human in the loop?

Share of classified policies that explicitly require human oversight.

University 41.9%

Which AI tools do policies actually name?

Number of institutions that name each tool.

ChatGPT / OpenAI 17
Copilot 16
Gemini / Google 10
Midjourney 7
Claude / Anthropic 5
Perplexity 4
Stable Diffusion 2
Llama / Meta 1

How far along is the sector?

All 42 monitored institutions, by policy maturity.

  • Comprehensive 2
  • Developing 17
  • Minimal 19
  • No policy yet 4

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.