ENVENV-003 — Resource Allocation Imbalances
Large-Scale AI Training and Inference Drives Significant Carbon Emissions
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Deep learning systems generate substantial carbon emissions through the computational demands of both training and live inference operations. Boards face growing regulatory and reputational exposure as environmental costs of AI deployments attract scrutiny from investors and legislators.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024) ↗https://airisk.mit.edu/
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