Learn More About AI Environmental Reporting
AI Environmental Impact Assessments
Understand how AI affects your organization’s environmental footprint
- AI systems consume significant energy due to high computation needs
- ESG goals and new regulations (like the EU AI Act) make impact tracking essential
- Proceptual evaluates AI energy use and reports on potential environmental outcomes
We expect that the emerging consensus on AI regulation will require deployers to understand their environmental impacts. In particular, the EU AI Act strongly suggests that this requirement is coming. (Article 40, Article 95 (2b), Annex X1 Section 1)
“The computational power required to train generative AI models that often have billions of parameters, such as OpenAI’s GPT-4, can demand a staggering amount of electricity, which leads to increased carbon dioxide emissions and pressures on the electric grid.” MIT
Proceptual’s standardized AI environmental assessment can produce a detailed report of your organization’s potential environmental impact in <2 weeks.
As a recognized AI compliance vendor, Proceptual’s third party environmental assessment are the gold standard.
AI Impact Steps
AI Environmental Impact Assessment
A clear, step-by-step process to measure the environmental effects of your AI systems, including usage data, carbon emissions, water consumption, and mitigation strategies.
Gather Usage Information
Collect usage statistics for all relevant AI systems (e.g. tokens used per month)
Interview technical and management teams on efforts to streamline usage
Estimate Carbon Emissions
Understand per-unit carbon emissions on a model-by-model basis
Consider data center location
Estimate Water Usage
Understand per-unit water usage
Consider impact on local populations by data center location
Generate Report
Provide report with a range of environmental impact
Include management-defined mitigation measures
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