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.

Microsoft Datasheets for Datasets



Microsoft Datasheets for Datasets

Tool for documenting the datasets used for training and evaluating machine learning models to increase dataset transparency and facilitate better communication between dataset creators and dataset consumers, and encourage the machine learning community to prioritize transparency and accountability.

For dataset creators, the primary objective is to encourage careful reflection on the process of creating,
distributing, and maintaining a dataset, including any underlying assumptions, potential risks or harms, and implications of use.

For dataset consumers, the information provided by the tool can help ensure that a dataset is the right choice for the task at hand. 

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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.