Ghost Work

Ghost work names human labor that is obscured behind apparently automated digital services. Mary L. Gray and Siddharth Suri’s 2019 book examines the workers whose judgment helps these services function.

The concept broadens the AI Alignment question: whose work supports a system, whose experience is visible, and whose interests count? Those are questions about Social Alignment, not just an operator’s satisfaction.

Claims about wages, trauma, or particular contractors require evidence about those workers and conditions. The concept alone does not establish that every AI supply chain has the same harms.

Supply-chain governance

Artificial Intelligence Colonialism: Environmental Damage, Labor Exploitation, and Human Rights Crises in the Global South connects hidden data labor with distributive and ecological questions. Its examples require case-specific evidence rather than a universal assumption about working conditions.

Care work

De-humanizing Care examines the human labor and institutional relationships behind a mental-health chatbot. The ethnography adds situated evidence; it does not measure prevalence across all automated care.