External Research ReviewResponsible AI · 20 May 2026

Research domain 08
We study safety, law, standards, public institutions, rights and social legitimacy as AI capabilities advance faster than many evidence and policy cycles.
FUURAA conceptual visualOpen research questions
How should institutions act when capability moves faster than conclusive evidence?
Which technical tests, disclosures and remedies make governance operational?
How can rules remain internationally legible while respecting different societies?
Reference points
These sources are independent references. Listing does not imply collaboration, approval or endorsement.
A shared scientific assessment led by independent experts from over 30 countries and organisations.
Open canonical source ↗02Singapore IMDAA practical Singapore reference for responsible agent deployment.
Open canonical source ↗03Council of EuropeAn international legal framework connecting AI with human rights, democracy and rule of law.
Open canonical source ↗Related publications
External Research ReviewResponsible AI · 20 May 2026
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Live evidence radar
OECD data show AI use across almost all surveyed governments, with stronger uptake in internal operations and public services than in policymaking or oversight. Risk and institutional readiness shape the pattern.
→Adoption is faster where data are available and procedures are standardised, and slower where legacy systems, privacy and representation raise the bar. AI often reveals prior digital weaknesses.
→Policymaking and oversight require stronger evidence, transparency, representation and accountability than routine administration. Slower adoption can reflect legitimate assurance needs rather than lack of ambition.
→Most surveyed countries have strategies and responsible institutions, but enabling capacity remains uneven. Governance becomes real only when roles, resources and enforcement are operational.
→Services that are understandable, accessible and responsive reduce the risk that automation excludes people or hides decisions. Usability and redress are governance mechanisms.
→Most users rated chatbot advice as helpful, but a cross-sectional survey cannot establish safety, accuracy or therapeutic effectiveness.
→Common reporting fields make it easier to compare risk assessment, security, accountability and transparency practices across organisations.
→The framework invites organisations to refresh disclosures each year, recognising that models, uses and controls evolve.
→Keep the question open
Researchers, engineers, universities and public institutions may propose sources, corrections or areas for structured review.