HUMHUM-005 — Workforce Displacement Anxiety
Exploitative Labour Practices in AI Training and Development
4/5Sector: TechnologyGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI developers have relied on underpaid and offshore workers to train, label, and moderate systems, concealing true operational costs and human dependencies. Boards face reputational, legal, and supply chain governance risks if such labour practices within AI pipelines remain unscrutinised.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025) ↗https://airisk.mit.edu/
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