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In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?

A successful first Global Dialogue on Governance would be defined by clear, practical outcomes that participants can carry forward immediately. First, it should produce a shared understanding among stakeholders from different regions and sectors. Success would mean that governments, institutions, private sector leaders, and civil society leave with aligned priorities and a common language for addressing emerging challenges. Second, the dialogue should result in a concise set of actionable recommendations. These could include policy guidelines, governance principles, and implementation roadmaps that are realistic and adaptable across different countries and contexts. Third, strong partnerships should emerge. A successful outcome would include new collaborations between organizations, institutions, and countries, with commitments to continue working together beyond the event. Fourth, there should be a clear follow-up mechanism. This could take the form of working groups, periodic check-ins, or a coordinating body to ensure that discussions translate into measurable progress. Fifth, inclusivity and representation would be key. Success would mean that voices from developing regions, youth, academia, and underrepresented communities are not only present but actively shape the outcomes. Finally, the dialogue should build momentum. It should inspire confidence, attract broader participation, and establish itself as a credible platform for ongoing global cooperation. In summary, success would not just be meaningful conversations, but tangible actions, sustained partnerships, and a clear path forward.

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?

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

Please briefly explain your selection.

5

These priorities reflect the most immediate and practical needs for building an inclusive and sustainable digital future. Capacity-building and equitable access are essential because many regions still face gaps in infrastructure, skills, and resources. Without intentional investment in these areas, global progress will remain uneven, and entire communities risk being left behind. Governance frameworks and policy alignment are equally critical. As technology continues to evolve, countries and institutions need clear, consistent, and adaptable guidelines. Without coordination, fragmented approaches can create confusion, inefficiencies, and unintended risks. Education, workforce development, and skills transition are central to long-term success. Preparing people with relevant skills ensures they can participate meaningfully in the modern economy. This not only supports employment and innovation but also strengthens resilience in the face of rapid change. Inclusion and representation in global decision-making ensure that solutions are grounded in diverse perspectives. When underrepresented regions and communities are actively involved, policies become more practical, equitable, and effective across different contexts. Together, these priorities focus on closing gaps, strengthening systems, empowering people, and ensuring that progress is both shared and sustainable.

In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.

3

Yes, several cross-cutting and emerging issues deserve greater attention beyond the listed themes. 1. Infrastructure inequality Reliable internet, electricity, and digital tools remain unevenly distributed. Without addressing these foundational gaps, many communities cannot fully benefit from modern systems, regardless of policy progress. 2. Trust, transparency, and public awareness There is a growing gap between technological advancement and public understanding. Clear communication, transparency in how systems are used, and public education are essential to build trust and encourage responsible adoption. 3. Data ownership and economic value Questions around who owns, controls, and benefits from data are becoming increasingly important. Many regions generate valuable data but do not share proportionally in the economic benefits. Fair value distribution models are needed. 4. Cultural and contextual relevance Global solutions often fail to account for local realities. There is a need to ensure that systems, policies, and tools are adapted to cultural, linguistic, and socio-economic contexts to remain effective and inclusive. 5. Implementation gap There is often a disconnect between policy discussions and real-world execution. Greater focus is needed on practical implementation, monitoring, and accountability to ensure that commitments translate into measurable outcomes. Addressing these cross-cutting issues will help ensure that progress is not only innovative, but also equitable, trusted, and grounded in real-world impact.

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 and uneven progress across these areas are having a direct impact on countries and sectors, particularly in emerging markets. One of the most significant challenges is unequal capacity and infrastructure. Many institutions lack the resources, systems, and trained personnel needed to keep pace with rapid digital transformation. This limits participation, slows adoption, and widens the gap between well-resourced and underserved regions. Another key challenge is fragmented policy and regulatory environments. Inconsistent guidelines across jurisdictions create uncertainty for organizations and investors, making it difficult to scale solutions or collaborate across borders. This often leads to delays in implementation and missed opportunities. Skills and workforce readiness also remain a major concern. While demand for digital competencies is rising, education and training systems are not evolving quickly enough to meet this need. This creates a mismatch between opportunity and available talent. At the same time, there are strong opportunities. Many regions have the advantage of leapfrogging legacy systems, allowing them to adopt more modern, efficient solutions without being constrained by outdated infrastructure. There is also growing momentum for regional collaboration and partnerships, which can accelerate knowledge sharing, resource pooling, and coordinated action. Finally, increased focus on inclusive participation presents an opportunity to shape more balanced and context-driven frameworks that reflect local realities while aligning with global standards. Overall, while the challenges are significant, they are matched by opportunities to build more inclusive, adaptive, and future-ready systems.

What role can the AI Dialogue play in advancing international cooperation on AI governance?

The Dialogue can serve as a neutral platform that brings together governments, private sector leaders, academia, and civil society to align on shared priorities and practical approaches. By fostering open and structured engagement, it can help bridge differences in national strategies and create a foundation for coordinated action. One key role is facilitating policy alignment. Through regular discussions and exchanges, participants can identify common principles and develop adaptable guidelines that countries can implement within their own contexts. This reduces fragmentation and supports smoother cross-border collaboration. The Dialogue can also strengthen partnerships by connecting stakeholders who may not otherwise engage directly. This can lead to joint initiatives, shared research, and coordinated capacity-building efforts, particularly benefiting regions with fewer resources. Another important role is promoting knowledge sharing. By highlighting best practices, lessons learned, and successful models, the Dialogue can accelerate progress and help avoid duplication of effort. In addition, it can support inclusion and representation by ensuring that voices from developing regions and underrepresented communities are part of global discussions. This helps create more balanced and effective outcomes. Finally, the Dialogue can drive accountability and continuity by establishing follow-up mechanisms, working groups, and periodic reviews to track progress and maintain momentum. Overall, its value lies in turning diverse perspectives into shared direction, practical collaboration, and sustained international cooperation.

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 build on existing international and regional efforts that already bring stakeholders together around governance, standards, and cooperation. Key initiatives include the work of United Nations platforms, particularly the Internet Governance Forum, which has long provided a space for inclusive global discussions on digital policy. The OECD principles on responsible technology use and the G20 digital economy agenda also offer widely recognized reference points for policy alignment. In addition, regional bodies such as the African Union and the European Union have developed frameworks and strategies that reflect local priorities and can inform global coordination. Private-sector and multi-stakeholder partnerships, including initiatives led by the World Economic Forum, also contribute valuable insights and pilot models. The added value of the Dialogue lies in its ability to connect these efforts into a more coherent global ecosystem. Rather than duplicating existing work, it can act as a bridge—aligning standards, amplifying best practices, and encouraging interoperability between regional and global frameworks. It can also provide a more inclusive and balanced platform, ensuring that perspectives from underrepresented regions are integrated into global discussions, complementing existing initiatives that may be more regionally concentrated. Finally, the Dialogue can introduce stronger coordination and follow-through, helping translate high-level principles into practical actions, measurable outcomes, and sustained collaboration across sectors and regions. In essence, it can unify, elevate, and accelerate what already exists while filling critical gaps in coordination and implementation.

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 meaningfully by bringing their unique strengths and perspectives into a structured, collaborative process. Governments can provide policy direction, share national experiences, and commit to aligning frameworks where possible. Private sector actors can contribute practical insights, innovation models, and implementation experience. Academia and research institutions can offer evidence-based analysis, evaluations, and forward-looking insights. Civil society and community organizations can ensure that public interest, ethics, and inclusion remain central to discussions. To be effective, the Dialogue should adopt a multi-layered format: 1. High-level plenary sessions to set priorities, align on key principles, and build political and institutional commitment. 2. Thematic working groups focused on specific areas (e.g., skills, policy, infrastructure), tasked with developing actionable recommendations. 3. Regional consultations to capture local perspectives and ensure that outcomes reflect diverse contexts. 4. Technical and practitioner roundtables where implementers share real-world challenges and solutions. In terms of structure, the Dialogue should be continuous rather than one-off. A cycle could include: * Preparation phase: stakeholder consultations and agenda setting * Main dialogue event: structured discussions and outputs * Follow-up phase: implementation tracking, reporting, and refinement Clear deliverables should be defined, such as policy briefs, implementation toolkits, and partnership commitments. Finally, the Dialogue should prioritize accessibility and inclusivity, using hybrid (in-person and virtual) formats, open submissions, and transparent reporting to ensure broad participation and sustained engagement. This approach ensures that contributions are not only heard but translated into practical outcomes.

Which voices, communities, or perspectives are currently underrepresented in global discussions on AI governance? How could they be included?

Several important voices remain underrepresented in global governance discussions. First, communities in developing regions, particularly in Africa, parts of Asia, and Latin America, are often not adequately represented. Limited resources, travel barriers, and restricted access to global platforms reduce their participation, even though they are significantly affected by policy outcomes. Second, youth and students are underrepresented, despite being the largest group of future users and contributors. Their perspectives on education, employment, and innovation are critical but often missing from decision-making spaces. Third, grassroots organizations and local practitioners—including educators, small business owners, and community leaders—are rarely included. These groups have direct, practical insights into real-world challenges and implementation gaps. Fourth, small and medium-sized enterprises (SMEs) often lack representation compared to large corporations, yet they form the backbone of many economies and face unique constraints. Fifth, culturally and linguistically diverse communities are frequently overlooked, especially where discussions are dominated by a few global languages and perspectives. To address this, participation must be intentionally expanded. This can include funding support for travel and engagement, regional and local consultations to gather input closer to communities, and hybrid participation models that enable virtual access. Additionally, open calls for contributions, multilingual platforms, and partnerships with local institutions can help bring in broader perspectives. Creating youth advisory groups and ensuring representation quotas in panels and working groups can also improve inclusivity. Ultimately, inclusion should not be symbolic—it must ensure that these voices actively shape outcomes and influence decisions.

What innovative engagement formats could most effectively foster meaningful and dynamic engagement during the AI Dialogue?

To foster meaningful and dynamic engagement, the Dialogue should move beyond traditional panels and adopt more interactive, outcome-driven formats. 1. Co-creation labs (solution sprints) Small, diverse groups work together in facilitated sessions to solve specific challenges and produce tangible outputs such as policy drafts, pilot concepts, or implementation roadmaps within a defined timeframe. 2. Scenario-based simulations Participants engage in real-world case simulations, testing how different decisions play out across sectors or regions. This encourages practical thinking, collaboration, and deeper understanding of trade-offs. 3. Stakeholder roundtables (closed-door, moderated) Curated discussions with balanced representation allow for candid dialogue, trust-building, and more honest exchange of ideas that may not surface in open forums. 4. Regional innovation showcases Short, high-impact presentations from different regions highlighting practical solutions, lessons learned, and scalable models. This ensures visibility for underrepresented voices and promotes peer learning. 5. Interactive digital participation platforms Live polling, Q&A, and collaborative digital workspaces enable real-time input from both in-person and virtual participants, making the Dialogue more inclusive and responsive. 6. Reverse panels ("ask me anything" sessions) Instead of experts speaking, participants pose direct questions to decision-makers, encouraging accountability and more grounded discussions. 7. Commitment sessions Stakeholders publicly outline specific actions or partnerships they will pursue after the Dialogue, helping ensure follow-through and measurable impact. Combining these formats can transform the Dialogue from a discussion forum into a collaborative, action-oriented platform that delivers concrete outcomes and sustained engagement.

Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.

6

Several existing policies, practices, and platforms offer practical approaches to effective governance and can serve as useful models: 1. Risk-based regulatory frameworks The European Union has advanced a risk-tiered approach through its legislative framework, where obligations are scaled based on the level of potential impact. This allows flexibility while ensuring higher safeguards for higher-risk use cases. 2. Principles-based policy models The OECD has developed widely adopted principles that emphasize accountability, transparency, and human-centered values. These serve as a foundation that countries can adapt into national policies. 3. National strategies and coordinated plans Countries such as United Kingdom and Singapore have implemented national strategies that combine innovation support with clear governance structures, creating a balanced environment for growth and oversight. 4. Regulatory sandboxes Some governments and regulators have introduced sandbox environments where new solutions can be tested under supervision. This enables innovation while managing risk and learning before full-scale deployment. 5. Multi-stakeholder platforms Initiatives such as the World Economic Forum platforms and the Internet Governance Forum bring together governments, industry, academia, and civil society to collaborate, share best practices, and align efforts globally. 6. Open standards and collaborative toolkits Open-access frameworks, guidelines, and toolkits allow organizations-especially in developing regions-to adopt good practices without starting from scratch, promoting consistency and scalability. These examples demonstrate that effective governance is best achieved through a combination of flexible regulation, collaboration, practical testing environments, and shared standards that can be adapted across different contexts.