AI Safety AI Governance Privacy & Data Protection Compliance AI-Specific Regulations & Standards Sector-Specific Compliance

Corporate AI Compliance Checklist

Posted on September 07, 2025 at 04:11 PM

Corporate AI Compliance Checklist

1. AI Safety

Risk assessment conducted for all AI systems (safety, robustness, misuse).
Bias and fairness testing performed (e.g., using datasets like StereoSet).
AI outputs validated for factual accuracy and reliability.
Human-in-the-loop safeguards in high-risk applications.
Incident response plan in place for AI failures.
Data quality, integrity, and privacy controls applied.
Alignment with: NIST AI RMF, OECD AI Principles, ISO/IEC 23894.

2. AI Governance

AI Ethics Policy documented and communicated.
AI oversight committee or accountable executive assigned.
Lifecycle governance (design → training → deployment → monitoring).
Third-party AI tools and vendors vetted for compliance.
Logging and audit trails maintained for AI decisions.
Regular employee training on AI ethics and compliance.
Governance framework aligned with:

3. Privacy & Data Protection Compliance

GDPR compliance (EU) → GDPR Regulation
CCPA/CPRA compliance (California, US) → CPRA Official
Singapore PDPA compliance → PDPA Guide
China PIPL compliance → PIPL Translation

4. AI-Specific Regulations & Standards

EU AI Act (risk-based compliance, 2025) → AI Act
US AI Bill of Rights (principles for AI use) → AI Bill of Rights
NIST AI RMF adoption (risk & trustworthiness) → NIST AI RMF
OECD AI Principles (international) → OECD AI Principles
ISO/IEC 42001 (AI Management System) → ISO/IEC 42001

5. Sector-Specific Compliance

Finance → Basel Committee AI/ML principles → BCBS
Finance → SEC AI/Fintech guidance → SEC
Healthcare → HIPAA (US) → HIPAA Overview
Healthcare → EU MDR/IVDR (AI in medical devices) → EU MDR
Transport → ISO 26262 (functional safety for automotive) → ISO 26262
Aviation → FAA AI/automation policies → FAA
Aviation → EASA AI Roadmap → EASA