The Ultimate AI Compliance Checklist for 2026
Ensuring AI compliance isn’t just about meeting regulatory requirements—it’s about building trustworthy AI systems that benefit your organization and users. This checklist provides a comprehensive framework for assessing your AI compliance posture.
Governance & Accountability
Strong governance is the foundation of AI compliance. Start here:
- Designated AI Officer: Appoint a responsible person or team for AI governance
- AI Policy: Establish a clear organizational AI policy
- Risk Framework: Implement a risk assessment framework for AI projects
- Ethics Board: Consider establishing an AI ethics committee
- Training Program: Ensure relevant staff understand AI compliance requirements
AI System Inventory
You can’t comply with what you don’t know you have:
- System Catalog: Maintain a complete inventory of AI systems
- Classification: Classify each system by risk level
- Documentation: Document purpose, data sources, and deployment context
- Ownership: Assign clear ownership for each AI system
- Lifecycle Tracking: Track systems from development to retirement
Data Governance
Data is the fuel for AI—governance is essential:
- Data Quality: Ensure training data is accurate, representative, and unbiased
- Data Sources: Document all data sources and their characteristics
- Privacy Compliance: Verify compliance with GDPR and other privacy regulations
- Data Retention: Establish appropriate data retention policies
- Access Controls: Implement proper access controls for AI training data
Risk Assessment
Proactive risk management is key:
- Impact Assessment: Conduct AI impact assessments for high-risk systems
- Bias Evaluation: Regularly test for algorithmic bias
- Security Review: Assess cybersecurity vulnerabilities
- Performance Monitoring: Monitor system performance and drift
- Incident Response: Establish AI incident response procedures
Transparency & Explainability
Build trust through transparency:
- User Notice: Inform users when they’re interacting with AI
- Explainability: Ensure decisions can be explained to affected parties
- Documentation: Maintain comprehensive technical documentation
- Audit Trail: Enable logging and audit capabilities
- Appeals Process: Establish mechanisms for challenging AI decisions
Human Oversight
Keep humans in control:
- Human Review: Implement human review for high-stakes decisions
- Override Capability: Ensure humans can override AI decisions
- Monitoring: Establish ongoing human monitoring of AI systems
- Escalation Paths: Define clear escalation procedures
- Training: Train operators on proper oversight procedures
Technical Requirements
Meet technical compliance standards:
- Accuracy Standards: Define and meet accuracy requirements
- Robustness Testing: Test system robustness against adversarial inputs
- Security Measures: Implement appropriate cybersecurity protections
- Version Control: Maintain version control for models and code
- Testing Protocol: Establish comprehensive testing procedures
Vendor Management
If you use third-party AI:
- Due Diligence: Conduct compliance due diligence on AI vendors
- Contractual Terms: Include compliance requirements in contracts
- Documentation: Obtain necessary technical documentation
- Ongoing Review: Regularly review vendor compliance status
- Exit Strategy: Plan for vendor transitions if needed
Continuous Improvement
Compliance is an ongoing journey:
- Regular Audits: Conduct periodic compliance audits
- Monitoring: Implement continuous compliance monitoring
- Updates: Stay current with regulatory changes
- Training: Provide ongoing compliance training
- Feedback Loop: Incorporate lessons learned into processes
Getting Started
Don’t try to tackle everything at once. Prioritize based on:
- Risk level of your AI systems
- Regulatory deadlines that apply to your organization
- Resource availability for compliance activities
- Business criticality of different AI systems
How Metrica.uno Helps
Metrica.uno automates much of this checklist, providing:
- Automated risk classification
- Gap analysis against regulatory requirements
- Compliance tracking dashboards
- Documentation templates
- Remediation recommendations
Start your free assessment today and see where you stand.
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Written by
Metrica.uno Team
Content Team
Metrica.uno Team is part of the Metrica.uno team, helping organizations navigate AI compliance with practical insights and guidance.
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