Published November 25, 2025 | Version v3
Report Open

Aiming for AI Interoperability: Challenges and Opportunities

  • 1. International Centre of Expertise in Montreal on Artificial Intelligence (CEIMIA)
  • 2. GliaNet
  • 3. Armilla AI
  • 1. International Centre of Expertise in Montreal on Artificial Intelligence (CEIMIA)
  • 2. Amii
  • 3. ROR icon International Association of Privacy Professionals
  • 4. Considerati
  • 5. ROR icon Arizona State University
  • 6. ROR icon Carleton University
  • 7. ROR icon Microsoft (United States)
  • 8. ROR icon Georgetown University
  • 9. ROR icon Microsoft (Ireland)
  • 10. ROR icon American National Standards Institute
  • 11. Schwartz Reisman Institute for Technology and Society

Description

The Aiming for AI Interoperability report investigates the ongoing challenge of achieving regulatory and technical AI interoperability as national and global AI governance efforts are proliferating. Here, technical interoperability is the ability of AI systems and networks to function together, and regulatory interoperability is the consistency and overlap of rules across jurisdictions and sectors. This report observes an accelerating trend that many governments, standard-setting bodies, and private firms are drafting, implementing, or passing new AI laws, policies, and frameworks at a staggering pace, resulting in fragmentation and confusion for both private and public sector actors.

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Additional details

Dates

Issued
2025-11-25