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.

Data Carbon Ladder



Data Carbon Ladder

Digital decarbonization offers great potential to reduce the digital CO2 footprint, but how can the carbon cost across stages of the digital data to information to knowledge journey be forecasted by organizations? In response, we present the data carbon ladder.

 

The Data Carbon Ladder can assist with new data and AI projects. This tool helps you determine the appropriate size of the dataset(s) required, the optimal frequency for updates, the most suitable storage location, and the analytics necessary for your project.
 

The Data Carbon Ladder provides you with an estimated data CO2 footprint for your project, highlighting any areas where improvements can be made to minimize environmental impact. By identifying potential inefficiencies in the data project, we can work towards creating a more sustainable and environmentally friendly solution.

 

The ladder represents a sequential process for completion by data engineers, data stewards, and/or data analysts.

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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.