Emanuel Moss conducts ethnographic research on issues of ethics, fairness, and accountability in AI systems. He is a Joint Postdoctoral Researcher for the AI on the Ground Initiative (AIGI) at Data & Society and the Digital Life Initiative at Cornell Tech. His doctoral work produced an ethnography of machine learning investigating 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 PhD from the CUNY Graduate Center, an MA from Brandeis University, and a BA from the University of Illinois at Urbana-Champaign. He has previously worked as a digital and spatial information specialist for cultural heritage and environmental impact assessment projects throughout the United States and in Manisa, Turkey.