Regulatory Compliance
Operational controls for regulatory compliance, with maturity levels, evidence requirements, and implementation guidance.
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10 controls
Multi-Jurisdiction AI Regulatory Compliance Mapping
Map AI obligations across operating jurisdictions. Identify differing requirements, conflicts, and duties requiring simultaneous compliance.
International AI Standards Monitoring Workflow
Track AI standards updates from ISO, NIST, OECD, ITU, and other bodies. Review internal obligations when changes are material.
Voluntary AI Framework Obligation Mapping
Compare industry pledges, government agreements, and regulatory sandbox commitments with sector requirements. Identify resulting compliance risks and additional obligations.
Non-Legislative AI Obligation Tracker
Track AI governance duties arising through procurement rules, bilateral agreements, regulatory sandbox exit conditions, and regulatory guidance letters.
Regulatory Engagement Process for AI Standards Development
Define participation in regulatory consultations, comment periods, and public-private working groups developing AI rules and standards.
AI Content Watermarking and Labeling Compliance
Keep a checklist of jurisdiction-specific AI content labeling, watermarking, and provenance (content origin) requirements. Implement the necessary technical controls and procedures.
EU AI Act Conformity Assessment and FRIA Process
Implement applicable EU AI Act assessment requirements for high-risk systems. Prepare technical documentation, engage notified bodies where required, and address fundamental rights impact assessments.
Federal AI Regulatory Monitoring and Pre-Deployment Vetting
Monitor federal executive orders, agency guidance, and rules for the most advanced AI models. Maintain pre-deployment checks reflecting current US expectations.
AI Hardware Provenance and Export Control Compliance
Document the origin and supply chain of AI hardware, including GPUs (graphics processing units) and specialized chips. Screen infrastructure purchases against applicable export controls.
AI Use in Regulatory Reporting and Risk Modeling
Map AI uses in regulatory reporting, stress testing, and risk modeling to supervisory expectations. Document validation of outputs before regulatory submission.