Addressing the challenges of measuring Artificial Intelligence carbon emissions
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Organised by: Software Standards Working Group
Project: SCI for AI
Open to: GSF Member Organisations
Starts: 28 January 2025
Application deadline: 10 January 2025
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Maximum capacity of 20 participants
Steering Committee Members are guaranteed a seat
General Member seats are allocated by application
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Are you passionate about sustainable software and part of a Green Software Foundation (GSF) member organisation?
We're seeking enthusiastic and dedicated practitioners like you to kick-off the development of a new ISO standard, extending the Software Carbon Intensity (SCI) to Artificial intelligence (AI).
“The purpose of this proposed specification is to assist AI practitioners—developers, data scientists, engineers, and decision-makers—in understanding and reducing the carbon footprint of AI systems. By making informed choices about model design, computational efficiency, and deployment strategies, practitioners can minimize emissions while maintaining performance.”
Navveen Balani (Accenture), Software Standards Working Group chair
Join a virtual workshop focused on extending the SCI to AI, addressing the challenges of measuring AI carbon emissions.
We will develop a methodology for calculating the carbon emissions rate (SCI score) of AI software systems, including both classical AI and generative AI applications. This standard aims to provide a reliable, consistent, and comparable measure that practitioners can use to set targets and track progress in reducing carbon emissions throughout the AI lifecycle—from development and training to deployment and inference.