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.

Algorithmic Equity Toolkit (AEKit)



Algorithmic Equity Toolkit (AEKit)

The Algorithmic Equity Toolkit (AEKit for short) is a collection of four components designed to identify surveillance and decision-making technologies used by governments; make sense of how those technologies work; and pose questions about their impacts, effectiveness, and oversight.

There are four components of the AEKit. They focus on identifying and analyzing technologies that aim to automate, aid, or replace human decision-making. The components of the AEKit are intended to be used in the following order, but feel free to use them as you see fit.

A chart with yes/no questions to help identify whether a technology is an automated decision system or a surveillance tool, both, or neither.

A map that defines key terms used in the AEKit and links the relationships between the various parts of automated decision systems.

A set of open-ended prompts that help to explore potential impacts of these technologies.

A set of questions about automated decision systems to ask government employees, elected officials, and vendors.

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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.