Aiming for AI Interoperability: Challenges and Opportunities
Creators
- 1. International Centre of Expertise in Montreal on Artificial Intelligence (CEIMIA)
- 2. GliaNet
- 3. Armilla AI
Contributors
Others:
Supervisor:
- 1. International Centre of Expertise in Montreal on Artificial Intelligence (CEIMIA)
- 2. Amii
-
3.
International Association of Privacy Professionals
- 4. Considerati
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5.
Arizona State University
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6.
Carleton University
-
7.
Microsoft (United States)
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8.
Georgetown University
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9.
Microsoft (Ireland)
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10.
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.
Files
Report_Aiming for AI Interoperability_Edited 3.pdf
Files
(4.2 MB)
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Additional details
Dates
- Issued
-
2025-11-25