Global AI Governance
Leading Global Artificial Intelligence Governance from Outcomes to Impact
By Aishwarya Narayanan and Danish
The proliferation of high-level events on Artificial Intelligence (AI) in recent years has contributed to a global AI governance framework that marginalises many developing countries’ priorities. The India-AI Impact Summit, as the first AI summit of its kind to be held in the Global South, has shown how the views, needs and concerns of the developing and least developed nations can be placed at the heart of the global AI agenda.
Through the lens of the India-AI Impact Summit, this policy brief underscores the need to build synergies between AI summit outcomes, UN-based discussions and multistakeholder initiatives. It posits how coherence among these diverse processes can be advanced through the work of the Independent International Scientific Panel on AI and the Global Dialogue on AI Governance under the UN. The brief concludes with recommendations for building greater convergence on global AI governance that supports sustainable development in the Global South.
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Inputs to the Global Dialogue on AI Governance
South Centre
April 2026
These inputs have been provided in response to the letter by the Co-Chairs of the Global Dialogue on AI Governance dated 18 March 2026 requesting for stakeholders to share perspectives, priorities and proposals to inform the thematic focus, structure and preparations for the first Global Dialogue, to be held in Geneva on 6-7 July.
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From Fragmentation to Impact: Strengthening Southern Agency in Global AI Governance
By Vahini Naidu and Danish
Artificial Intelligence (AI) is transforming production, trade and governance systems, yet global regulatory efforts remain fragmented and uneven. The multiplicity of forums, frameworks and initiatives, from UN processes to plurilateral and trade-centred mechanisms, has produced overlapping agendas and resulted in diminished participation from global South stakeholders. For developing countries, the challenge is to engage meaningfully in global AI governance while preserving national policy space and advancing sustainable development priorities.
This policy brief examines the evolving landscape of AI governance, focusing on its institutional fragmentation and the competing conceptions of regulation advanced through the UN, G20, BRICS, and other fora. It argues that coherent, development-oriented AI governance requires strengthening UN-anchored processes and linking AI regulation to industrial policy, innovation systems and data sovereignty. The brief concludes that inclusive, sustainable and responsible AI governance should support governments in enhancing their capacities to harness AI and emerging technologies to shape their digital transformation.
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