Fairness in Sociotechnical Machine Learning Systems
Sina Fazelpour is an assistant professor of philosophy and computer science, holding joint appointments with the Khoury College of Computer Sciences and the College of Social Sciences and Humanities at Northeastern University. Fazelpour’s research focuses on issues of justice, diversity, and reliability in data-driven and artificial intelligence technologies. He also works on understanding the concepts and consequences of diversity in social groups and networks. To address these issues, he draws on analytical tools of philosophy, methods of cognitive science, and formal techniques of agent-based simulation and machine learning.
Before joining Northeastern, Fazelpour was an SSHRC Postdoctoral Fellow in the Department of Philosophy at Carnegie Mellon University, with a secondary affiliation with the Machine Learning Department. During 2020-2021, he was the Council Fellow on the World Economic Forum’s Global Future Council on Data Policy. In addition to a doctorate in philosophy, Fazelpour holds a master’s in medical biophysics and a bachelor’s in electrical and biomedical engineering.