S0024RS7-T24-S0024-Z · Full risk code

Water Consumption by Data Centers

資料中心水資源消耗

Inception
Risk Description

When data centers required for AI inference and training consume substantial cooling water; due to unmitigated control gaps, in regions where water is already scarce, heavy consumption can intensify supply pressure and create competition with residential and agricultural use, triggering external stakeholder impacts and causing this environmental impact has historically been overlooked in assessments and has only recently drawn attention.

Framework Mappings

NIST AI 600-1Environmental Impacts
ISO/IEC 42005影響評估流程
ISO/IEC 5338啟動
MIT AI Risk RepositoryDomain 6

Risk Treatment & Implementation Guidance

Track data-center water consumption and factor local water stress into siting; Improve cooling efficiency and assess alternatives to reduce dry-season withdrawal impact; Establish community communication and water-use coordination