Private
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
A successful dialogue should produce clear, practical outcomes such as shared global principles for responsible AI, stronger international cooperation, and a roadmap for future collaboration. It should also promote capacity-building to reduce global inequalities and ensure commitments to transparency, accountability, and human rights. Most importantly, it should lead to concrete follow-up actions, not just discussion.
From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?
- Safe, secure and trustworthy AI
- AI capacity-building
- Transparency, accountability, and human oversight
- Protection and promotion of human rights
Please briefly explain your selection.
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These priorities ensure AI is both responsible and inclusive. Safety and trust are essential to reduce risks. Capacity-building helps countries and organizations participate equally. Transparency and accountability build public trust, while human rights ensure fairness, privacy, and ethical use of AI.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
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Key emerging issues include the environmental impact of AI, concentration of power among a few companies, risks from generative AI such as misinformation, and the impact of AI on jobs. These require global cooperation and long-term policy attention.
How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.
Governance gaps in AI are creating challenges such as unclear regulations, limited accountability, and uneven adoption across sectors. In many regions, including developing and emerging economies, there is a lack of clear standards for safe and trustworthy AI, which can increase risks related to bias, privacy, and misuse. Limited capacity and skills also slow down effective implementation, making it harder for organizations to fully benefit from AI technologies. At the same time, rapid AI advancements are outpacing existing policies, leading to uncertainty for businesses and institutions. These gaps highlight the need for stronger governance frameworks, better coordination across countries, and increased investment in capacity-building to ensure AI is used responsibly, fairly, and inclusively.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
The AI Dialogue can play a key role in advancing international cooperation by providing a neutral and inclusive platform for governments, industry, academia, and civil society to align on shared principles and priorities. It can help reduce fragmentation in AI governance by encouraging coordination between national and regional approaches.
What are some of the existing initiatives, partnerships, or mechanisms that the AI Dialogue should build upon or connect with, and what added value could the AI Dialogue bring?
The AI Dialogue should build upon existing international initiatives such as those led by the United Nations, OECD, and UNESCO, as well as multi-stakeholder partnerships and regional frameworks on AI governance. By connecting these efforts, the Dialogue can reduce duplication and promote greater alignment across different standards and policies. Its added value lies in its inclusiveness and global reach, bringing together diverse perspectives, especially from underrepresented regions.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
Different stakeholders can contribute by sharing expertise, real-world experiences, and policy perspectives. Governments can provide regulatory insights, the private sector can share technical knowledge, and academia and civil society can highlight ethical and social impacts.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
nderrepresented groups include developing countries, small and medium enterprises, non-technical communities, and marginalized populations. Their perspectives are often missing due to limited access, resources, or representation.
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Innovative formats could include interactive workshops, live polls, breakout discussions, and scenario-based exercises. Hybrid participation (online and in-person) can increase accessibility
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
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these policies and practices demonstrate how combining regulation, ethical principles, technical tools, and collaboration can address AI challenges in a balanced and effective way.