HUMHUM-005 — Workforce Displacement Anxiety
Exploitative Labour Practices in AI Data Sourcing and Annotation
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI developers have sourced training data and conducted safety testing by exposing low-paid annotators to toxic and harmful content without adequate protection. Organisations face reputational, regulatory, and supply-chain liability risks if procurement and oversight frameworks do not extend to third-party data labour.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023) ↗https://airisk.mit.edu/
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