ZIA

The first Global Dialogue on AI Governance would be successful if it produces clear, shared principles for safe and inclusive AI use and strengthens international cooperation. Key outcomes should include agreed policy guidelines, stronger coordination between countries, and commitments to inclusive access and capacity-building, especially for developing countries, regions, and youth. It should also establish a follow-up mechanism to ensure that discussions lead to real implemented actions, not just recommendations.

• AI capacity-building
• Social, economic, ethical, cultural, linguistic and technical implications of AI
• Interoperability of governance approaches
• Safe, secure and trustworthy AI

I selected these priorities because they together ensure a balanced and responsible approach to AI governance. Safe, secure and trustworthy AI is essential to reduce risks and build public trust. AI capacity-building helps reduce inequality by giving developing countries and youth the skills and access they need. The social, economic, ethical, cultural, linguistic, and technical implications of AI ensure governance considers AI's wide impact on society. Interoperability of governance approaches supports international cooperation and prevents fragmented regulations. So, these priorities promote inclusive, safe, and coordinated global AI development.

Yes, some important cross-cutting issues are not fully covered. These include the environmental impact of AI on youth, data governance and ownership, and the digital divide, which affects access for developing countries, and regions. The impact on jobs and the future of decent work is also a key emerging concern. Addressing these issues will make AI governance more inclusive and sustainable.

AI governance gaps affect developing regions through weak regulation, limited or unknown digital infrastructure, and a shortage of AI skills, which increases inequality and slows innovation. However, AI also offers opportunities in education, jobs, and public and private services. With better policies and capacity-building, it can support inclusive development and economic growth.

The AI Dialogue can serve as a platform for cooperation, bringing together governments, industry, academia, civil society, and other entities to work on shared principles and priorities. It can help build common standards, trust, and transparency, while encouraging knowledge sharing and joint solutions. By including diverse voices and perspectives, it also ensures more balanced and inclusive global AI governance.

The AI Dialogue should build on initiatives like the Organization for Economic Co-operation and Development (OECD) AI Principles, the Global Partnership on AI (GPAI), and UN efforts linking AI to development. Its added value is to connect these initiatives, reduce fragmentation, and create a more inclusive platform with stronger participation from developing countries and youth. It can also help turn principles into practical actions through coordination and follow-up.

Stakeholders should contribute based on their roles such as governments create policy, the private sector provides technical expertise and financial support, academia offers research, and civil society and youth ensure inclusiveness. The AI Dialogue should use a multi-stakeholder format with thematic discussions, interactive sessions, and strong youth participation. It should follow a simple structure as consultation, dialogue, and monitor, with hybrid participation for wider access.

Developing countries, regions, youth, and marginalized communities are often underrepresented in AI governance. They can be included through regional consultations, youth roles, financial support, and accessible hybrid participation, along with capacity-building to ensure meaningful engagement.

Use interactive workshops, simulations, and roundtables to solve real AI challenges. Add policy labs, incubation, hackathons, and youth-led sessions for innovation. Support this with hybrid platforms, polls, and breakout groups to keep participation active and inclusive.

Effective AI governance combines ethical guidelines, risk assessment tools, and international cooperation to ensure safe and fair AI development. For example, the OECD AI Principles promote trustworthy and human-centered AI globally. In practice, Artificial Intelligence (AI) impact assessments and algorithmic audits help identify risks before systems are used. Multi-stakeholder platforms also support cooperation between governments, companies, and civil society to improve coordination and share solutions.