Emanuel Moss researches issues of fairness and accountability in AI systems, is a research assistant on the Pervasive Data Ethics for Computational Research (PERVADE) project, and a member of the AI on the Ground Initiative (AIGI) at the Data & Society Research Institute. He is a doctoral candidate in cultural anthropology at the CUNY Graduate Center, where he is studying the work of machine learning from an ethnographic perspective and the role of data scientists as producers of knowledge. He is particularly interested in how data science, machine learning, and artificial intelligence are shaped by organizational, economic, and ethical prerogatives.
Emanuel holds a B.A. from the University of Illinois and an M.A. from Brandeis University. He has previously worked as a digital and spatial information specialist for archaeological and environmental projects in the United States and Turkey.