Artificial intelligence (AI) is rapidly transforming societies and economies worldwide, becoming a pivotal driver of innovation, growth, and competitiveness. As AI continues to shape our collective future, countries and companies are developing AI at different rates and under fragmented regulatory schemes. Amid trends of fragmentation globally, international efforts are, however, emerging to harmonize AI governance frameworks and ensure that AI systems contribute to sustainable development for all. At the recently concluded 80th United Nations General Assembly (UNGA), Member States agreed to establish the United Nations International Scientific Panel on AI and the Global Dialogue on AI Governance. These mechanisms build on and operationalize the Global Digital Compact, a comprehensive framework on digital cooperation and governance of artificial intelligence, a year after it was adopted in September 2024.
Against this backdrop and on the sidelines of UNGA80, Foreign Policy, in partnership with Lenovo, convened a high-level, closed-door roundtable, AI for All: Building Global Capacity to Unlock AI Innovation, bringing together policymakers, academic experts, industry, and civil society leaders to explore practical approaches to fostering AI innovations while ensuring all countries reap the range of potential benefits AI offers. The key takeaways from this roundtable align with the thematic focus and agenda of the forthcoming Global Dialogue on AI Governance, offering insights into the challenges and opportunities to close disparities in AI access and capacity, particularly affecting low-and middle-income countries.
The roundtable brought together a diverse group of participants from governments, multilateral institutions, the private sector, and civil society.
Discussion Topics
Stakeholder coordination and collaborationHow can policymakers and industry stakeholders collaborate on establishing global norms and governance frameworks as AI development continues to accelerate?
What practical models of collaboration among governments, industry, civil society, and academia can accelerate AI adoption while avoiding duplication of efforts?
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