Monaco

A general approach to AI governance that is: • Human-centered and grounded in international law, including international human rights law; • Inclusive and attentive to the needs of vulnerable populations; • Forward-looking and adaptable to technological evolution. Artificial intelligence holds considerable promise for advancing innovation, improving public services, supporting sustainable development, and strengthening resilience. At the same time, its rapid evolution requires governance frameworks that preserve human dignity, social cohesion, and long-term societal stability.

• Social, economic, ethical, cultural, linguistic and technical implications of AI
• Protection and promotion of human rights
• AI capacity-building
• Interoperability of governance approaches

Priority considerations: I. Safeguarding Human Cognitive Autonomy and Education AI systems are increasingly integrated into educational environments. While these tools offer opportunities for personalized learning and improved access to knowledge, governance frameworks must ensure that AI complements rather than replaces the development of fundamental human capabilities. We considers that: • AI deployment in education should strengthen critical thinking, creativity, and independent reasoning. • Governance approaches should prevent overdependence on AI systems, particularly among children and adolescents. • Educational policies should promote digital literacy and responsible use of AI as safeguards against misuse and manipulation. Preserving cognitive autonomy is essential to sustaining democratic societies and informed citizenship. AI governance discussions should therefore consider long-term impacts on learning systems and intergenerational development. II. Protecting Information Integrity The rapid proliferation of generative AI technologies has significantly lowered the barriers to the creation of synthetic media, including deepfakes and manipulated content. This development poses risks to public trust, electoral integrity, and social cohesion. We encourages consideration of governance approaches that: • Promote international cooperation on authenticity verification and content provenance mechanisms; • Support the development of interoperable standards for the identification of AI-generated content; • Strengthen cross-border coordination in responding to large-scale disinformation campaigns; • Encourage the development and investment in technical and policy tools capable of mitigating malicious uses of synthetic media. Safeguarding information integrity is not solely a technical challenge; it is central to maintaining trust in institutions and preventing the destabilizing effects of disinformation. III. Ensuring Adaptive and Forward-Looking Governance Frameworks The pace of AI development challenges traditional regulatory cycles. Conventional regulatory approaches may struggle to address rapidly evolving risks and applications. We therefore underscores the importance of governance models that are: • Adaptive and evidence-based; • Capable of integrating anticipatory risk assessment and foresight methodologies; • Flexible enough to evolve in response to technological advancements. Such approaches could include iterative regulatory processes, structured international exchanges of best practices, and mechanisms for early identification of emerging risks. Effective AI governance must not only respond to current challenges but anticipate future developments in order to remain relevant and credible. Monaco supports strengthening multilateral dialogue to avoid fragmentation of governance approaches; as well as capacity-building efforts to ensure that all countries can participate meaningfully in AI governance discussions. AI governance should contribute to narrowing, rather than widening, existing technological divides.

Encouraging the Development of Sovereign AI The exposure of sensitive data or critical infrastructure represents a major risk for States developing their AI capabilities. The issue of extraterritorial laws that may apply to users creates a harmful dependency for both public and private entities seeking to strengthen their capacities in this field. In this context, developing sovereign AI makes it possible to retain control over data, technologies, and strategic choices. At the global level, this can help prevent the concentration of technological power in the hands of a limited number of actors.

Monaco is committed to promoting a model of global governance aligned with the priorities aforementioned