DARR
MR-037 Governance & process Both scope

Environmental footprint of AI

Training and operating AI systems consume substantial energy, water, and materials, producing carbon emissions, e-waste, and ecosystem harm.

Risk family
Governance & process
MIT domain
6. Socioeconomic and Environmental
MIT subdomain
6.6 > Environmental harm
AI type
GPAI, Classical_ML, Agentic
Scope
Both
Source standard
MIT AI Risk Repository v4

Provenance

Source standard
MIT AI Risk Repository v4
Source frameworks
28 source framework citation keys
Abercrombie2024, Bengio2024, Bengio2025, Chin2025, Clarke2023, Coghlan2023, Cunha2023, EPIC2023, G'sell2024, GOS2023, Gabriel2024, Gipiškis2024, Hagendorff2024, IBM2025, Leech2024, Li2025, NIST2024, Paes2023, Saghiri2022, Shelby2023, Solaiman2023, Stahl2024, Tan2022, Tang2025, Uuk2025, Weidinger2021, Weidinger2022, Weidinger2023
ISO/IEC references
23894 obj A.5; src 9; mech B.6 | 42001 ctrl A.4.5

Framework crosswalk

Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.

Sourcesframeworks that contributed to the register
ISO 238941
  • A.5 ISO/IEC 23894 Annex A A.5
ISO 420011
  • A.4.5 ISO/IEC 42001 Annex A A.4.5
Cross-checksframeworks mapped in to test coverage
IBM3
  • ibm-ai-agents-impact-on-environment AI agents' impact on environment
  • ibm-impact-on-the-environment Impact on the environment
  • ibm-redundant-actions Redundant actions partial
NIST GenAI1
  • GENAI.5 Environmental Impacts

Part of the Deployer AI Risk Register, an open-source resource developed by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.