AI Governance Framework Tool

A decision architecture for AI adoption in Higher Education

Define & Assign
Who/What/
Accountability
→
UNESCO
Why/
Why Not
→
OECD
Can it/
Can it not
→
Decision
Go/Pilot/
No-Go
Define & Assign Ethics Capability Decision

Step 1: Define Use Case & Assign Stewardship Define your project and assign accountability. This combines the 'What' with the 'Who is responsible'.

Part A: Define the Use Case

e.g., 'AI Study Buddy for Distance Learners'
Describe the task, users, and data involved

Part B: Assign Stewardship (CFHE Plus)

Who has accountability for this AI deployment?

AI Helper

Need help identifying your AI type or stewardship level?

Step 2: Ethical Guardrails (UNESCO) Apply UNESCO's human-centred principles and identify governance patterns

AI Helper

Need help with ethical considerations?

Step 3: Capability Check (OECD) Assess the 'jagged frontier' - AI's strengths and weaknesses

e.g., 'Strong language processing'
e.g., 'Prone to hallucinations'
How will you address these weaknesses?

AI Helper

Need help understanding the jagged frontier?

Step 4: Final Decision & Justification Make your final, auditable decision based on all previous analysis

Provide a final justification connecting all previous steps

AI Helper

Get an advisory opinion on your plan

Auditable Decision Record