ENVENV-003 — Resource Allocation Imbalances
Generative AI Training Causes Adverse Environmental and Ecosystem Impacts
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
High compute demands from training and operating generative AI models produce significant energy and resource consumption that damages ecosystems. Boards face growing regulatory and reputational exposure as environmental costs of AI investment come under scrutiny.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024) ↗https://airisk.mit.edu/
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