AIBlindspot
← All case studies
HUMHUM-005 — Workforce Displacement Anxiety

Underpaid Offshore Labour Used to Build and Optimise AI Systems

4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —

Executive Summary

AI development pipelines routinely rely on exploited low-wage workers to perform data labelling, content moderation, and model optimisation. Boards face reputational, regulatory, and supply-chain liability risks if workforce practices in AI procurement are not audited and disclosed.

Domain

Human Factors

Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.

Source

MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024) ↗

https://airisk.mit.edu/

Could this happen in your organisation?

A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.