Mutual Recognition

Mutual Recognition in the AI context refers to arrangements between jurisdictions to accept each other's conformity assessments, certifications, or regulatory approvals for AI systems, reducing duplicative compliance burdens for cross-border deployment.

Current State: Formal mutual recognition agreements for AI do not yet exist, but the concept is under development in several contexts:

• EU internal: Mutual recognition of notified body assessments across Member States
• EU-US TTC: Trade and Technology Council exploring AI governance alignment
• Standards bodies: International standards (ISO/IEC) may facilitate mutual recognition

Potential Frameworks:

• Conformity assessment: Accepting other jurisdictions' certification body assessments
• Standards-based: Common international standards enabling mutual acceptance
• Equivalence: Recognizing substantially similar regulatory requirements
• Sectoral: Mutual recognition for specific AI applications (medical devices, vehicles)

EU AI Act Provisions:

• Article 115: Commission may negotiate international agreements on AI
• Standards: Harmonized standards may be based on international standards
• Third countries: Provisions for authorized representatives enable non-EU providers to access EU market

Challenges:

• Different risk classification approaches across jurisdictions
• Varying fundamental rights frameworks
• Divergent enforcement mechanisms
• Ensuring equivalent protection levels

Related concepts: Adequacy Decision, Conformity Assessment, Harmonised Standard, International Alignment