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AI Governance Checklist
Assess your organisation's AI governance maturity across 6 dimensions.
Overall Progress
0/24 (0%)
Policy & Ownership
0/4
AI usage policy documented and communicated to all staff
Designated AI governance owner or committee
AI ethics principles defined and published
Process for approving new AI tools and use cases
Risk Management
0/4
AI risk register maintained and reviewed quarterly
Impact assessments conducted for high-risk AI use cases
Process for identifying and mitigating AI bias
Incident response plan for AI failures
Data Governance
0/4
Data classification policy applied to AI training data
Data lineage tracked for AI model inputs
Retention and deletion policies for AI-generated content
Third-party data sharing agreements reviewed
Transparency & Explainability
0/4
AI-generated content labelled where appropriate
Users informed when interacting with AI systems
Explanation capability for high-stakes AI decisions
Model cards or documentation maintained for deployed models
Human Oversight
0/4
Human review required for high-stakes AI decisions
Escalation path defined for AI errors or edge cases
Regular audits of AI outputs for quality and bias
Feedback mechanism for users to report AI issues
Compliance
0/4
GDPR / privacy regulations assessed for AI use cases
Industry-specific AI regulations reviewed (e.g. EU AI Act)
Vendor AI compliance documentation obtained
Legal review completed for AI-generated content
Export Checklist