Aiming for AI Interoperability: Challenges and Opportunities

• URL: http://arxiv.org/abs/2601.14512v1
• Date: Tue, 20 Jan 2026 22:05:55 GMT
• Title: Aiming for AI Interoperability: Challenges and Opportunities
• Authors: Benjamin Faveri, Craig Shank, Richard Whitt, Phillip Dawson,
• Abstract summary: Technical interoperability is the ability of AI systems and networks to function together.<n> Regulatory interoperability is the consistency and overlap of rules across jurisdictions and sectors.<n>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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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