CEIMIA (the International Centre of Expertise in Montreal on Artificial Intelligence) has released two new resources that provide sector-specific roadmaps to achieve meaningful AI regulatory and technical interoperability: the Aiming for AI Interoperability Report and an accompanying policy brief.
Independently developed with support form Google.org, the resources seek to support responsible AI that fuels social and economic progress. ANSI senior vice president for government relations and public policy Mary Saunders served on the Project Advisory Group for this report and policy brief.
The report includes four sectoral roadmaps: public sector; private sector; standard-setting and international organizations; and NGO and civil society. Each roadmap provides structured, concrete, and actionable guidance while acknowledging that these high-level approaches must be adapted to specific organizational contexts and capabilities.
The role of standards and certifications is explored as part of the “AI soft law landscape,” recommending that representatives from firms, academia, and government collaborate to establish and endorse existing standards surrounding specific uses of AI to tackle its risks and challenges.
The sectoral roadmap for standard-setting organizations (SSOs) and international organizations (IOs) offers recommendations for a five-phase approach:
“Standard-setting organizations (SSOs) and international organizations (IOs) occupy a central, often underestimated role in shaping AI regulatory and technical interoperability. They are not passive conveners, but strategic actors that can stabilize cooperation during geopolitical disruption, accelerate coherence when regulatory or political avenues stall, and anchor credibility through principles, frameworks, assurance, and certification. Their independence allows them to provide common reference points that governments, firms, and civil society can adopt, standing somewhat apart from national politics while enabling both technical and regulatory interoperability,” reads the report.
Learn more in the CEIMIA news item: CEIMIA releases report focused on path forward for AI interoperability
