AI Environmental Impact Assessments
Understand the environmental impact of your organization’s use of AI
- Artificial intelligence systems use substantial energy resources due to intense computation requirements
- ESG commitments as well as current or forthcoming regulations, like the EU AI Act, make it important to understand how your organization’s use of AI may impact the environment
- Proceptual’s AI environmental impact assessments evaluate AI systems for energy consumption, reporting on a range of possible environmental outcomes
Learn More About AI Environmental Reporting
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.
STEP 1: 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
STEP 2: Estimate Carbon Emissions
Understand per-unit carbon emissions on a model-by-model basis
Consider data center location
STEP 3: Estimate Water Usage
Understand per-unit water usage
Consider impact on local populations by data center location
STEP 3: Generate Report
Provide report with a range of environmental impact
Include management-defined mitigation measures