https://taxonomy.eticas.ai/risk/environmental-impact
Maturity: established
The risk that an AI system’s development, deployment, or use causes negative environmental effects, such as excessive energy or water consumption, carbon emissions, or unsustainable use of hardware and resources. This includes hidden impacts across the system’s lifecycle, from model training to long-term operation.
Also known as: Sustainability · Environmental sustainability
Applies to: ALL
Lifecycle stages: Pre Processing, In Processing, Post Processing
| Framework | Concept |
|---|---|
| EU AI Act (Regulation 2024/1689) | Article 95 — Codes of conduct for sustainability + Recital 139 |
| ISO/IEC 42001:2023 — AI Management System | AI system impact assessment + Annex C objectives |
| Framework | Concept |
|---|---|
| NIST AI 600-1 — Generative AI Risk Profile | Environmental Impacts |
| OECD AI Principles | Inclusive growth, sustainable development & environmental sustainability |
| Framework | Concept |
|---|---|
| MIT AI Risk Repository | Environmental harm |
| IBM AI Risk Atlas | Non-technical → Societal impact → Environmental impact |