Milagros Miceli is a sociologist and computer scientist who investigates how ground-truth data for machine learning (ML) is produced. The focus of her research is labor conditions and power dynamics in data generation and labeling. Broadly, she’s interested in questions of meaning-making, knowledge production, and symbolic power encoded in ML data. Miceli’s work comprises ethnographic fieldwork, interviews, and participatory engagements with data annotators, collectors, and scientists at several sites around the world.
She leads the newly funded research group Data, Algorithmic Systems, and Ethics at Weizenbaum-Institut, and also works as a researcher at DAIR Institute where she’s thinking through ways of engaging communities of data workers in AI research.