AI Labor

AI labor refers to the effects of artificial intelligence on employment, job design, and workforce practices, including automation of tasks, hiring decisions made or assisted by algorithms, and the use of AI systems to monitor or evaluate workers. For enterprise leaders, it raises concrete obligations under employment and anti-discrimination law, labor agreements, and emerging rules such as New York City's requirements for bias audits of automated hiring tools. Governance teams need to track these rules because a poorly documented screening or productivity-monitoring system can create legal exposure and damage trust with employees and regulators.

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ResearchGlobal2026-10-26

AI Training Labor Map Links 13 Vendors and 31 Countries, Exposing Supply Chain Gap

A Brown University undergraduate has published an interactive map connecting 13 data labeling companies, 141 corporate customers, and 31 countries. The map exposes the hidden labor supply chain behind AI training data. The project documents low-wage annotation work concentrated in the Global South, which the researcher frames as intentionally opaque. For compliance teams, the map creates a citable record of supply chain conditions that vendor due diligence programs have rarely reached.

supply chain transparency AI labor vendor due diligence training data human rights ESG disclosure