Multi-Jurisdiction AI Regulatory Compliance Mapping

Key steps

• Inventory every jurisdiction where AI systems are deployed or where personal data of subjects is processed.
• For each jurisdiction, identify applicable AI regulations, guidance, and enforcement posture. Start with the EU AI Act, US federal requirements, UK AI framework, and any state or sector-specific rules.
• Build a register with columns: jurisdiction, instrument name, applicability trigger, key obligations, effective date, enforcement body, and internal owner.
• Flag any two-jurisdiction pairs where obligations conflict (e.g., one jurisdiction requires human review while another prohibits storing the data needed for that review).
• Assign a compliance lead for each jurisdiction and define a review cadence tied to the regulatory calendar.
• Connect the register to change management: any new AI deployment triggers a check of which jurisdictions it touches.

Common gaps

• Treating the EU AI Act as the only compliance driver and missing sector-specific requirements (DORA for financial services, MDR for medical AI).
• Omitting jurisdictions where data subjects are located, not just where the company is incorporated.
• Failing to account for extraterritorial reach of regulations like the EU AI Act and GDPR.

Tools and approaches

• Spreadsheet or GRC platform with jurisdiction-as-rows, regulation-as-columns, and a traffic-light status for each cell.
• Subscribe to regulatory intelligence feeds (IAPP Westin Research Center, Allen and Overy AI tracker, national AI office bulletins).
• Annual external counsel review to catch regulations that internal teams missed.