A new methodology has been proposed to accurately account for the greenhouse gas emissions generated by AI inference services within corporate sustainability reports. This four-tier framework aims to provide a more precise estimation than current practices, which often omit these emissions or use overly broad economic factors. The proposed method utilizes GPU energy benchmarks and regional grid carbon intensities for direct estimation, with a fallback to spend-based economic factors for services lacking usage data. AI
IMPACT Provides a standardized method for companies to accurately report AI's environmental footprint, aiding compliance and sustainability efforts.
RANK_REASON The cluster contains an academic paper proposing a new methodology for a specific technical problem.
- AI inference
- Corporate Sustainability Reporting Directive (CSRD)
- EEIO
- Ember
- EPA eGRID
- GHG inventories
- GPU
- Scope 3 Category 1
- AI inference services
- GPU energy benchmarks
- grid carbon intensities
- Sweden
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