OPSOPS-001 — Monitoring and Alerting Inadequacies
Well-Intentioned AI Deployed at Scale Produces Harmful Societal Outcomes
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems designed for broad societal benefit can cause widespread harm when real-world effects diverge from intended ones, particularly when products resolve problems selectively for some users whilst exacerbating them for others. Boards must account for asymmetric harm distribution as a core operational risk in any large-scale AI deployment.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI (Critch2023) ↗https://airisk.mit.edu/
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