From AI principles to capable public institutions
Why responsible AI depends as much on administrative capacity as it does on technical standards.
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Why responsible AI depends as much on administrative capacity as it does on technical standards.
Independent audits of AI systems only work if regulators have the technical capacity, legal standing, and political will to act on findings.
The updated inventory now covers 18 countries and includes a new structured field for implementation status.
This brief surveys participation mechanisms in five countries and identifies conditions for meaningful (rather than performative) inclusion.
Governments in South and Southeast Asia are buying AI systems faster than they can assess them. Interim safeguards are not a compromise—they are a necessity.
A structured inventory of national AI strategies, bills, standards, and public-sector guidance across 15 countries.
A comparative account of emerging institutions, policy instruments, and accountability mechanisms across twelve countries.
An annual flagship assessing policy progress, institutional capacity gaps, and emerging risks across the region.
Five binding requirements governments should embed in tender specifications before procuring automated systems for public services.
A policy brief outlining practical safeguards for procuring automated systems in public services.
A self-paced 6-module course introducing government officials and civil society practitioners to structured impact assessment methods.
A fully funded 12-month fellowship for emerging researchers advancing responsible AI in South and Southeast Asia.