Meaningfully addressing questions of justice and diversity in complex sociotechnical systems requires concerted, collaborative efforts. I'm excited to investigate these questions in partnership with others at The Institute for Experiential AI.
– Sina Fazelpour, Core Member, EAI
Sina Fazelpour is an assistant professor of philosophy and computer science at Northeastern University. Sina studies the social impacts and governance of data-driven and artificial intelligence technologies, with a focus on justice, diversity, and reliability in sociotechnical, human-AI systems. 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. His articles on these and other areas have appeared in Philosophy of Science, Philosophy and Phenomenological Research, Synthese, European Journal for Philosophy of Science, Cognition, and more.
Before joining Northeastern, Sina was a Social Sciences and Humanities Research Council Postdoctoral Fellow in the Department of Philosophy at Carnegie Mellon University, with a secondary affiliation with the Machine Learning Department. In addition to a doctorate in philosophy, Sina holds a Master of Science in medical biophysics and a Bachelor of Engineering in electrical and biomedical engineering.