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
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.
About the tool
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Tags:
- ai responsible
- data governance
- ai auditing
- data ethics
- data co2
- data carbon footprint
- data stewardship
- data decarbonization
- data assurance
- digital decarbonization
- green data
- data carbon ladder
Use Cases
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