Washington – The Computer & Communications Industry Association filed comments in the United Nations’ consultation on the Global Dialogue on AI Governance. The Dialogue, established alongside the Independent International Scientific Panel on AI by Resolution A/RES/79/325, is mandated to serve as a multistakeholder platform to advance international cooperation, share best practices, and support open, inclusive discussions on AI governance. It will hold its inaugural session in Geneva, Switzerland, on July 6–7, 2026, alongside the ITU’s AI for Good Summit.
CCIA sees the Dialogue as an opportunity to advance best practices that reduce fragmentation in cross-border AI development and deployment, while underscoring that the success of the Dialogue’s inaugural session will depend on how it is operationalized. CCIA’s comments emphasize the importance of risk-based frameworks grounded in industry-led, consensus-based, and voluntary international standards, as well as the need for the Dialogue to complement, not duplicate, existing international efforts. These approaches can help lower adoption costs, particularly for SMEs.
CCIA has long engaged in UN AI governance processes, including through written submissions and testimony throughout the development of the AI Dialogue.
The following can be attributed to CCIA Vice President, Digital Trade Jonathan McHale:
“For the world to fully realize the benefits of AI, the UN AI Dialogue should prioritize enabling global adoption by reducing regulatory fragmentation, rather than advancing rigid, prescriptive approaches that risk stifling innovation and deployment. Today, divergent regulatory frameworks and restrictions on the transfer and processing of data are raising costs and constraining access, particularly for SMEs in emerging economies. To be effective, the Dialogue should complement existing efforts in relevant multilateral fora and focus on practical outcomes. Scaling best practices and advancing interoperable, risk-based approaches rooted in international standards will lower costs, support deployment, and translate AI’s potential into tangible economic gains.”
