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.

Type

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Origin

Scope

Finance and insurance

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SUBMIT A TOOL

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SUBMIT
Target sector(s) Finance and insurance
Approach Procedural

ProceduralUploaded on Oct 2, 2024
FairNow is an AI governance software tool that simplifies and centralises AI risk management at scale. To build and maintain trust with customers, organisations must conduct thorough risk assessments on their AI models, ensuring compliance, fairness, and security. Risk assessments also ensure organisations know where to prioritise their AI governance efforts, beginning with high-risk models and use cases.

TechnicalProceduralUnited StatesUnited KingdomEuropean UnionUploaded on Jul 11, 2024
Enzai’s EU AI Act Compliance Framework makes achieving compliance with the world’s first comprehensive AI governance legislation as easy as possible. The framework breaks hundreds of pages of regulations down into easy-to-follow steps allowing teams to enable organisations to seamlessly and confidently assess the compliance of their AI Systems with the Act and complete the requisite conformity assessments.

TechnicalProceduralIsraelUploaded on Apr 11, 2024
Citrusx offers a multifaceted solution to connect all stakeholders in the company through an SDK, user-friendly UI, and automated reporting system.

TechnicalEducationalProceduralFinlandUploaded on Nov 13, 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.

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

TechnicalEducationalProceduralFranceUploaded on Sep 26, 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.

ProceduralUploaded on Sep 11, 2023
Meta-learning is a promising strategy for learning to efficiently learn within new tasks, using data gathered from a distribution of tasks.

Objective(s)

Related lifecycle stage(s)

Plan & design

TechnicalProceduralGermanyUploaded on Jun 22, 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.

ProceduralNetherlandsUnited KingdomUploaded on Jun 20, 2023>1 year
A software-based EU AI Act compliance solution for your clients and AI value chain actors

TechnicalProceduralUploaded on May 20, 2023<1 month
GuArdIan: Essential safeguard for businesses utilizing ChatGPT-like LLM technology

TechnicalEducationalProceduralUnited KingdomUploaded on May 11, 2023
To accelerate the journey to net zero, our team has designed the first publicly available tool to be used on new data projects to assess and measure the data CO2 footprint along the dataflow, called the “Data Carbon Ladder”. Using this tool, organizations can reduce their data CO2 footprint by ensuring optimal dataset(s) selection, frequency of updates, storage location, and analytics for the project to not only succeed but to do so in the most environmentally friendly way.


ProceduralUploaded on Mar 31, 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

TechnicalProceduralUploaded on Mar 30, 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.

EducationalProceduralUploaded on Mar 30, 2023<1 day
The framework proposes a self-regulated approach that incorporates certain tools (or instruments) to facilitate ethical and responsible AI development, drawing on insights from the EU Regulation on Artificial Intelligence (AI Act)

TechnicalProceduralFinlandUploaded on Mar 27, 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.

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

TechnicalProceduralUploaded on Mar 27, 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.

TechnicalProceduralUploaded on Mar 27, 2023<1 day
A bespoke AI risk audit solution tailor-made to identify your enterprise project’s AI risks, comprising deep technical, quantitative analysis.

TechnicalProceduralUploaded on Mar 27, 2023
A set of guides to help enterprises mitigate some of the most common AI risks, presenting step-by-step solutions to protect against technical risks.

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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.