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.

Trustworthy AI Procurement Card



Trustworthy AI Procurement Card

Trustworthy AI Procurement CardTM is a non-exhaustive list of information which can accompany acquisition decisions.  The Card is similar to the DataSheets or Model Cards, in the sense that the objective is to promote transparency and better due diligence during AI procurement process. Buyers could require the vendors to provide the relevant information as per Trustworthy AI Procurement Card during the acquisition process. The Card can serve as a quick reference for decision-makers, enabling easy comparison between vendor models, as well as comparison between updates to the same product. 

The Card can be used as a self-conformity assessment tool first, where the vendor provides the details of the product to the buyer, and documents its decisions and practices. In cases where the procurement action is to decide on the development of a product, the Card can be used to establish the statement of work. The buyer can use the Card as a baseline for its internal Test, Evaluation, Verification and Validation (TEVV) process. And finally, the Card can contribute to the development and maintenance of AI use case registries where information critical for public awareness and accountability is provided.

About the tool


Developing organisation(s):




Type of approach:



Tags:

  • ai procurement
  • public procurement
  • transparency
  • accountability

Modify this tool

Use Cases

There is no use cases for this tool yet.

Would you like to submit a use case for this tool?

If you have used this tool, we would love to know more about your experience.

Add use case
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.