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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Approach Procedural
Target sector(s) Finance and insurance

ProceduralUploaded on 24 janv. 2024
This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm.

Objective(s)

Related lifecycle stage(s)

Build & interpret modelPlan & design

ProceduralUploaded on 14 nov. 2023
Advice for policy-makers on how to plan, develop and implement federated learning systems to safely advance machine learning for health systems improvement.

ProceduralEducationalFinlandUploaded on 13 nov. 2023
Saidot is a platform that helps you create and manage AI applications that are safe, ethical and transparent. With Saidot, you can: 1) Adopt AI policies from a library of templates, 2) Identify, mitigate and monitor AI risks, 3) Share AI reports with your stakeholders and 4) Learn how to use generative AI responsibly.

ProceduralUnited StatesUploaded on 2 oct. 2023
Automate, simplify, and streamline your end-to-end AI risk management process.

ProceduralEducationalFranceUploaded on 26 sept. 2023
Our software equips data scientists and AI engineers with powerful tools to help them create robust and explainable AI systems in conformity with ISO standards. Trust Saimple to help you build the foundation for reliable AI.

ProceduralEducationalUploaded on 4 juil. 2023
The Data Carbon Scorecard provides a rapid assessment of the environmental impact of your proposed data project enabling you to quickly gauge the CO2 implications of your data project and determine the ‘best’ course of action for the environment. Through answering just 9 questions, the scorecard provides you with a traffic light display of data CO2 hotspots and an overall Data CO2 Score for the whole project within minutes. The scorecard can be used by any individual, team, or organization.

ProceduralGermanyUploaded on 22 juin 2023<1 day
QuantPi’s platform unites AI testing with AI governance. It is the cockpit of AI-first organizations to collaborate on – to efficiently and responsibly understand, enhance and steer their individual AI models as well as their complete AI landscape.

ProceduralUnited KingdomUploaded on 16 juin 2023
Aival software allows non-technical users to evaluate commercial AI products in terms of performance, fairness, robustness and explainability (healthcare / imaging)

ProceduralUploaded on 20 mai 2023<1 month
GuArdIan: Essential safeguard for businesses utilizing ChatGPT-like LLM technology

ProceduralUploaded on 27 avr. 2023<1 day
A Psychometric scale to measure how users perceive and trust technology which can be applied to a variety of domains such as business, healthcare, public sector, among many others.

EducationalUploaded on 27 avr. 2023
AI serious game application for Mixed Reality to stimulate individual self-awareness in our relationship with AI, based on the following 3 pillars: (1) the computational self, (2) the experiential self, (3) the composite self.

EducationalUploaded on 24 avr. 2023>1 year
The effective formula to accelerate your knowledge on the EU AI Act

Related lifecycle stage(s)

Build & interpret model


EducationalUploaded on 12 avr. 2023
An AI tool that allows you to understand complex civic issues by listening to the perceptions and concerns of millions of citizens in Latin America and the Caribbean in real time.

ProceduralUploaded on 31 mars 2023
BetterBeliefs is an evidence-based and inclusive stakeholder engagement platform to create contextual, relevant and justified AI policy

Related lifecycle stage(s)

Operate & monitor

ProceduralUploaded on 30 mars 2023<1 day
GRACE is an AI governance platform that offers a central registry for all AI models, tools, and workflows for risk mitigation, compliance, and collaboration across AI teams and projects. It provides real-time compliance, transparency, and trust while promoting AI innovation. The platform works across all major cloud vendors and offers out-of-the-box frameworks for complying with EU AI Act, AI standards, data regulations, and AI frameworks.

ProceduralEducationalUploaded on 30 mars 2023<1 day
Estados Unidos

ProceduralFinlandUploaded on 27 mars 2023
The framework helps to identify and manage risks of algorithmic bias and discrimination and to promote equality in the use of AI. It is especially intended for public sector use in close collaboration between public procurers and technical AI developers.

ProceduralUploaded on 27 mars 2023<1 day
A scalable and systematic solution empowering enterprise to adopt and scale AI with confidence and enhance business performance.

ProceduralUploaded on 27 mars 2023<1 day
A fully independent and impartial audit to ensure compliance with the bias audit requirements for New York City Local Law 144 and upcoming regulations.

catalogue Logos

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.

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