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This submission to the United Nations on Global Dialogue on AI Governance argues for a shift from technology-led AI governance towards purpose-led governance that prioritises societal value, human rights and long-term sustainability. It emphasises that decisions about AI should begin with assessing whether AI is appropriate in a given context before considering how it should be implemented. The submission calls for governance approaches that are human-centred, evidence-based and grounded in democratic principles.

Key priorities include trustworthy AI, capacity building, human rights protection, transparency, accountability and interoperability across governance frameworks. The authors highlight concerns about growing inequalities in access to computing resources, data and expertise. They also draw attention to governance gaps in transboundary domains and the need to address the social, cultural and institutional impacts of AI adoption.

The submission advocates for stronger international cooperation through inclusive and participatory governance processes. It stresses the importance of meaningful involvement from underrepresented communities, Indigenous peoples and actors from the Global Majority. Practical tools, policy literacy initiatives and structured self-assessment tools are presented as ways to support responsible AI adoption. The submission concludes that effective AI governance requires coordinated action, capacity building and continuous reflection on the purposes, risks and consequences of AI systems.