UNCTAD
Responses
In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?
Clear shared principles, practical policy recommendations, and commitments from countries and organizations to implement safe and inclusive AI governance.
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
- Protection and promotion of human rights
- Transparency, accountability, and human oversight
- Open-source software, open data and open AI models
Please briefly explain your selection.
1
These priorities ensure AI is safe, respects human rights, and is governed transparently. Interoperability helps align global efforts and avoid fragmented regulations.
In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.
2
Yes - AI's environmental impact, concentration of power among a few companies, and the need for global cooperation to manage rapid technological change.
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.
The major governance gaps include uneven regulations across countries, limited capacity in developing regions, and weak enforcement of AI standards. This creates risks such as misuse, lack of accountability, and growing inequality in access to AI benefits. At the same time, advances in AI offer strong opportunities to boost economic growth, improve public services, and support sustainable development. Better international cooperation, shared standards, and investment in skills and infrastructure can help close these gaps and ensure more inclusive and responsible use of AI worldwide.
What role can the AI Dialogue play in advancing international cooperation on AI governance?
The AI Dialogue can provide a neutral platform for countries to align on shared principles, build trust, and coordinate policies. It can help reduce fragmentation, promote common standards, and support inclusive participation in global AI governance.
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 Dialogue should connect with existing global and regional AI initiatives, standards bodies, and multilateral forums. Its added value would be bringing these efforts together, improving coordination, avoiding duplication, and ensuring that all countries—especially developing ones—have a voice in shaping global AI governance.
How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.
Governments, private sector, academia, and civil society can share expertise, data, and best practices. The Dialogue should include multi-stakeholder panels, regional consultations, and clear follow-up actions to ensure practical outcomes.
Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?
Developing countries, small businesses, marginalized communities, and the Global South are often underrepresented. They can be included through targeted outreach, funding support, and ensuring equal participation in decision-making processes.
What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?
Interactive workshops, scenario-based discussions, and hybrid (online + in-person) sessions can improve engagement. Using small group dialogues and real-world case studies can make discussions more practical and inclusive.
Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.
7
Examples include risk-based AI regulations, ethical AI guidelines, and mandatory impact assessments for high-risk systems. Practices such as transparency reporting, independent audits, and human oversight mechanisms help ensure accountability. Platforms that support open data and shared standards can improve collaboration and innovation. Regulatory sandboxes allow safe testing of AI systems before full deployment. These approaches help balance innovation with safety, protect rights, and build trust in AI systems.