Independent

In my opinion, the first Global Dialogue on AI Governance would be a success if it leads to practical outcomes. It would be especially valuable if participants can agree on a small set of clear, shared principles about how AI should be developed and used responsibly, particularly regarding safety, transparency, privacy, and fairness. Even basic alignment on these points would help create a more predictable and trustworthy environment for innovation. Another important outcome would be building real collaboration between governments, researchers, companies, and civil society. AI is evolving very quickly, and no single actor can manage its risks or opportunities alone. Creating channels for ongoing cooperation, knowledge sharing, and coordination would help avoid fragmented approaches and allow countries to learn from each other's experiences. Finally, the Dialogue should make a serious effort to include perspectives from developing countries. AI governance should not be shaped only by a small group of technologically advanced economies. Supporting broader participation through capacity building, knowledge exchange, and access to infrastructure would contribute to more balanced and inclusive progress.

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

AI capacity-building is essential to ensure that all countries and institutions can meaningfully engage with AI, rather than becoming passive adopters of technologies developed elsewhere. Strengthening education, research infrastructure, and technical expertise is necessary to reduce global inequalities and enable informed policy decisions. I also selected social, economic, ethical, cultural, linguistic and technical implications of AI because AI systems are not neutral: they shape labour markets, access to information, and cultural representation. Understanding these multidimensional impacts is critical to designing governance approaches that are context-sensitive and socially beneficial. The protection and promotion of human rights is a fundamental priority. AI systems can influence privacy, non-discrimination, freedom of expression, and access to opportunities. Embedding human rights principles into AI governance frameworks helps ensure that technological progress remains aligned with democratic values and the public interest.

In Bolivia, governance gaps in AI mainly affect the country's ability to benefit from technological innovation in an inclusive and responsible way. Limited AI capacity-building restricts the development of local expertise, research, and institutional readiness, which can increase dependence on external technologies and reduce opportunities for local innovation. At the same time, the social and economic implications of AI are shaped by existing inequalities, particularly the digital divide between urban and rural areas and differences in access to education and digital infrastructure. Without inclusive policies, AI could reinforce these disparities instead of reducing them. Finally, the protection of human rights is an important concern, as regulatory frameworks for data protection, transparency, and accountability in AI are still evolving. Strengthening governance in these areas is essential to ensure that AI systems respect fundamental rights and contribute to sustainable and equitable development in Bolivia.