ENVENV-003 — Resource Allocation Imbalances
Generative AI Energy Consumption Accelerates Carbon Emissions
4/5Sector: EnergyGeography: GlobalStage: OperateIngested: —
Executive Summary
Training a single large language model produces carbon emissions equivalent to seven people's annual output, a cost largely absent from public AI accountability frameworks. Boards deploying generative AI without environmental impact assessment face material regulatory and reputational exposure as climate disclosure requirements tighten.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023) ↗https://airisk.mit.edu/
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