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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Stakeholder group Trade union/workers

EducationalUploaded on Aug 14, 2023
A journey into the AI and the world of work. Developed using foresight principles, this boardgame combines horizon-scanning, long-term strategic thinking, roleplay and immersive scenarios to identify concerns for the different players and come up with plausible solutions. It is developed to create a structured environment that allows the creation of an immersive learning experience to experience various dimensions of AI.

ProceduralGermanyUploaded on Feb 22, 2022

This concept paper aims to elaborate on the DGB’s approach ‘Good Work by design’. The focus will be on questions and sticking points regarding the design of change processes in the context of AI use. Based on the ‘Evaluation List’ for guidelines of the HLEG on artificial intelligence of the EU Commission, which was developed […]

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Plan & design

EducationalProceduralUploaded on Feb 22, 2022

Framework for the governance of AI systems in the workplace. It aims to equip unions, workers, and managers with a set of tools to manage and govern algorithmic systems responsibly, including by raising workers’ understanding of such systems.


ProceduralUploaded on Feb 23, 2022

The ethical guidelines primarily address developers, programmers, decision-makers and also to employees involved in and bearing responsibility for planning, designing, developing and purchasing as well as using AI systems in companies.


ProceduralUploaded on Apr 13, 2022

As Artificial intelligence (AI), robotics, data and machine learning enter our workplaces across the world displacing and disrupting workers and jobs, unions must get involved. This document provides unions, shop stewards and workers with a set of concrete demands to the transparency, and application of AI. It will inform AI designers and management of the […]


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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.