The Multistakeholder Approaches to Participation in AI Governance (MAP-AI) initiative – launched by the Global Network Initiative (GNI) and the Centre for Communication Governance at National Law University Delhi (CCG) – has submitted Oral Inputs into the Informal Stakeholder Consultation on the Global Dialogue on AI Governance on March 18, 2026, emphasizing the need for a more inclusive, human rights -grounded, and action-oriented global AI governance process.

Building on extensive multistakeholder engagements convened alongside the India AI Impact Summit 2026, as well as a series of global pre-events, MAP-AI highlights critical gaps in the current AI governance landscape, particularly the lack of meaningful participation from Global Majority stakeholders, limited accountability mechanisms, and insufficient alignment across global governance processes. The submission underscores the Global Dialogue’s unique opportunity to address these gaps by centering human rights, enabling equitable participation, and strengthening coordination across international frameworks including the WSIS process, the Global Digital Compact, and the Internet Governance Forum.

MAP-AI proposes three core thematic pillars to guide discussions: global AI governance (including accountability and interoperability), safe and trusted AI (focusing on security, privacy, and transparency), and context-driven AI infrastructure (including digital public infrastructure, multilingual AI, and local ecosystem development). Across all pillars, the initiative emphasizes the importance of elevating Global Majority perspectives and addressing structural inequalities in access to resources, capacity, and decision-making.

The submission also calls for concrete structural reforms to the Global Dialogue, including transparent processes, multistakeholder decision-making mechanisms, and dedicated pathways for meaningful civil society and academic participation. It further recommends the development of practical outputs such as coordinated capacity-building initiatives, shared knowledge platforms, and pathways toward stronger accountability commitments from both governments and industry.