Learn More About AI Environmental Reporting
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
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.