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.

Towards Measuring and Mitigating the Environmental Impacts of Large Language Models



Towards Measuring and Mitigating the Environmental Impacts of Large Language Models

This CIFAR AI Insights Policy Brief outlines basic steps for policymakers on how to measure and address the environmental impacts of large language models at every stage, from the manufacturing of GPUs used for their training to their deployment in products and services.

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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.