ENVENV-003 — Resource Allocation Imbalances
Deep Learning Systems Drive Unsustainable Energy Consumption in Energy Sector
4/5Sector: EnergyGeography: GlobalStage: DevelopIngested: —
Executive Summary
Iterative training processes in deep learning models generate disproportionately high energy consumption, creating material environmental and operational cost risks. Boards face regulatory exposure and reputational liability as scrutiny of AI carbon footprints intensifies across the energy sector.
Domain
Environmental Factors
Blindspots in organisational culture, stakeholder expectations, resource allocation, market pressure, regulatory environment, and external partnerships.
Source
MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022) ↗https://airisk.mit.edu/
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