CEIMIA releases report focused on path forward for AI interoperability

The organization born from Canada’s asserted leadership in responsible AI released a framework to achieve meaningful interoperability so global AI systems can effectively communicate.

OTTAWA, November 26, 2025  – Yesterday, CEIMIA (the International Centre of Expertise in Montreal on Artificial Intelligence), hosted an event to release its Aiming for AI Interoperability Report and accompanying policy brief that provide sector-specific roadmaps to achieve meaningful AI regulatory and technical interoperability.

“The current AI governance landscape is increasingly fragmented and convoluted, leading to confusion for those operating across borders on compliance and rule application. The current phase of AI development may be the last opportunity to establish regulatory and technical interoperable foundations,” stated Sophie Fallaha, Executive Director of CEIMIA. “Before us is both unprecedented opportunity and mounting risk. By looking at these opportunities, our report establishes a comprehensive framework for coordinated action toward AI regulatory and technical interoperability.”

CEIMIA’s mission is to build trust and safety in the deployment of AI, and encourage the use of responsible AI. CEIMIA acts as a neutral broker to provide both policy makers and industry actors with practical and actionable tools to adopt AI responsibly. With this report, which was independently developed with support from Google.org, CEIMIA aims to enable a future where responsible AI fuels social and economic progress.

“Failure to achieve meaningful interoperability will result in a fragmented global ecosystem where AI systems cannot effectively communicate, regulatory compliance becomes prohibitively complex, and the benefits of AI innovation are unevenly distributed,” added Fallaha. “Organizations that successfully implement interoperability frameworks will benefit from reduced integration costs, expanded market access, and decreased regulatory compliance burdens across multiple jurisdictions. Conversely, those that delay implementation or pursue purely proprietary approaches risk being locked-out of emerging AI ecosystems that increasingly depend on standardized and verified compliance mechanisms.”

This report’s four sectoral roadmaps, one for each of public, private, standard-setting and international organizations, and NGO and civil society sectors, provide structured, concrete, and actionable guidance while acknowledging that these high-level approaches must be adapted to specific organizational contexts and capabilities. 

See here for links to the report and corresponding policy brief.