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AI Race

Data Annotation
Data Annotation

The process of labeling data so that AI systems can learn from it — for example, tagging images or rating text. Data annotation shapes how AI understands the world, but depends on large-scale manual work that remains largely invisible.

Bibliography
  • Gray, M. L., & Suri, S. (2019). Ghost work: How to stop Silicon Valley from building a new global underclass. Harper Business.
  • Tubaro, P., Casilli, A. A., & Coville, M. (2020). The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence. Big Data & Society, 7(1), 2053951720919776.
  • Miceli, M., & Posada, J. (2022). The data-production dispositif. Proceedings of the ACM on human-computer interaction, 6(CSCW2), 1-37.

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