What AI adoption in practice reveals about trust, safety, and AI performance globally

2026

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AI-generated summary

1) This report reveals how AI adoption is outpacing governance and safety measures in real-world settings, offering crucial insights for building trustworthy AI globally.
2) * Explores the practical challenges and emerging governance approaches in AI adoption across small states and resource-constrained contexts.
* Highlights key findings on vendor-driven adoption, limited in-country capacity, and the amplification of harms in these environments.
* Proposes a shared, actionable approach to AI adoption that prioritizes co-creating protective systems, building institutional capacity, and enabling collective action.
3) AI adoption, trust, safety, governance, resource-constrained contexts, small states

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