This standard defines a measurement framework for reporting on environmental indicators for training models and deriving inference on Artificial Intelligence (AI) systems. This includes harmonized measurements of compute intensity (e.g. energy use) with associated environmental impacts (e.g. carbon dioxide (CO2) emissions, or water consumption). This standard describes methodologies to separate the measurement of AI-specific compute (i.e. data centres used for AI training or inference) from general purpose compute (e.g. data centres used for other purposes like cloud services).
- Standard Committee
- C/SABSC - Standards Activities Board Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-06-06
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/SABSC - Standards Activities Board Standards Committee
- Working Group
-
EIAI - Environmental Impact of Artificial Intelligence
- IEEE Program Manager
- Jonathan Goldberg
Contact Jonathan Goldberg - Working Group Chair
- Arti Garg
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