Governance Checklist for AI
Balancing Risk, Compliance, and Innovation
📂 Data Sources & Feeds
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Validate all data sources for accuracy & legality.
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Cleanse data before integration; remove bias & discriminatory content.
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Approve datasets through an AI Governance Gatekeeper.
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Apply privacy-by-design: anonymize, tokenize, or use synthetic data for regulated PII.
👤 Data Owners & Accountability
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Assign Data Owners responsible for integrity & compliance.
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Maintain data inventories & classifications aligned with privacy laws.
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Document data lineage & retention schedules.
🔐 Data Integrity & Security
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Implement controls for bias detection & mitigation (NIST fairness principle).
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Secure data against unauthorized access; apply encryption & masking.
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Monitor for adversarial attacks & model drift (NIST resilience principle).
⚖️ Compliance & Risk Management
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Conduct AI Risk Assessments (AIDA required).
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Perform Privacy Impact Assessments (aligned with privacy laws).
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Maintain audit trails for AI decisions & data flows.
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Align with AIDA disclosure requirements: purpose, risk mitigation, & monitoring plans.
📜 Policies & Procedures
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Publish an AI Acceptable Use Policy (AUP).
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Define escalation paths for ethical or compliance concerns.
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Align governance with NIST AI RMF functions: Govern, Map, Measure, Manage.
♻️ Data Lifecycle Management
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Track data retention & deletion (aligned with privacy laws).
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Document demographics of data (Country/Jurisdictions or geographic jurisdictions) for cross-border compliance.
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Apply lifecycle controls for generated content & metadata.
🔍 Transparency & Explainability
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Provide clear documentation of AI models (purpose, limitations, training data).
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Enable human oversight for high-impact decisions.
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Communicate AI system summaries to stakeholders & regulators.
🎓 Training & Awareness
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Mandatory AI ethics & privacy training for all staff.
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Regular updates on regulatory changes & internal policies.
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Communicate governance framework across front-office & back-office workflows.
A business-focused checklist aligned with NIST AI RMF 100-1, AIDA (proposed Canadian AI Law), & Canadian privacy laws (PIPEDA, Quebec Law 25, BC PIPA, Alberta PIPA).



