Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

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Data Governance & Traceability

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Objective Data Governance & Traceability
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Children & AI Design Code

EducationalUnited KingdomUploaded on Jun 19, 2025
The Code sets out a process to identify, evaluate, and mitigate the known risks of AI to children and prepare for the known unknowns. It requires those who build and deploy AI systems to consider the foreseeable risks to children by design and default.

Objective(s)

FairnessHuman Agency & ControlData Governance & Traceability

Risk Atlas Nexus

TechnicalIrelandUploaded on May 2, 2025
Risk Atlas Nexus provides tooling to connect fragmented AI governance resources through a community-driven approach to curation of linkages between risks, datasets, benchmarks, and mitigations. It transforms abstract risk definitions into actionable AI governance workflows.

Objective(s)

SafetyTransparencyData Governance & Traceability

Related lifecycle stage(s)

Operate & monitorVerify & validatePlan & design
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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.