Page 24 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

Figure 15: Vijay Mauree, Programme Coordinator, Telecommunication Standardization
Bureau (TSB), International Telecommunication Union (ITU)

Q3� How can global interoperability for AI systems work without undermining national
regulatory sovereignty?
• Participants emphasized the balance between AI sovereignty and global collaboration,
highlighting the value of interoperability through voluntary frameworks for responsible AI
(e.g. for safety, accountability, and sustainability) and technical standards, while respecting
national laws and addressing data privacy through potential data interoperability
frameworks.
• Participants stressed the importance of multistakeholder collaboration for interoperability,
emphasizing the need for consensus-driven, primarily technical standards while
considering governments' policy concerns and frameworks like the Organization for
Economic Cooperation and Development (OECD) principles and the Council of Europe
Convention.
• Participants agreed on the need for global AI interoperability and defining AI agent
interactions, security, and trust properties, while recognizing that issues like cross-border
cloud operations already challenge national regulatory sovereignty. Participants also
highlighted a new concern around AI agents autonomously communicating in ways that
could pose risks to data integrity or cybersecurity, for example.
• Participants advocated for transnational governance rooted in existing global frameworks
(e.g. Universal Declaration of Human Rights and Convention on the Rights of the Child),
emphasizing the importance of a human-centred approach, broad multistakeholder
collaboration, and consensus on shared principles to guide AI development and lifecycle
governance.

12