Exploitation and Poor Working Conditions for AI Data Annotators in Kenya and Colombia

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Thousands of data annotators in Kenya and Colombia, essential for training generative AI systems, face exploitative conditions, including low pay, psychological distress, and lack of legal protections. Their work involves labeling graphic content for AI development, with little recognition or support, highlighting systemic labor rights violations linked to AI advancement.[AI generated]

Why's our monitor labelling this an incident or hazard?

The article explicitly involves AI systems (generative AI) that require human data labeling. The harms described are direct and ongoing: psychological distress, physical ailments, and labor rights violations suffered by the annotators. These harms stem from the AI system's development and use, as the annotators' work is essential to train and validate the AI. The lack of legal protections and poor working conditions constitute violations of labor rights and harm to health, fitting the AI Incident definition. Although the article also discusses the absence of regulation, the realized harms to workers make this an incident rather than a hazard or complementary information.[AI generated]
AI principles
AccountabilityFairnessHuman wellbeingRespect of human rights

Industries
IT infrastructure and hosting

Affected stakeholders
Workers

Harm types
Economic/PropertyPsychologicalHuman or fundamental rights

Business function:
Research and development

AI system task:
Content generation


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