Sina Fazelpour
Scholar

Sina Fazelpour

Google Scholar ID: GPRnVkMAAAAJ
Northeastern University
Philosophy of ScienceEthics of Artificial IntelligenceCognitive ModelingSocial Epistemology
Citations & Impact
All-time
Citations
902
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
10
list available
Contact
Resume (English only)
Research Experience
  • Visiting AI Fellow at the National Institute of Standards and Technology (NIST) from 2022 to 2025, contributing to the creation and operationalization of the NIST AI Risk Management Framework (AI RMF) and its playbook.
  • Council Fellow on the World Economic Forum’s Global Future Council on Data Policy (2020–2021).
  • Co-founded the Intelligence, Data, Ethics and Society (IDEAS) summer institute for undergraduates to broaden participation in responsible AI through a cross-disciplinary approach.
  • Co-founded and serves on the organizing committee of two online seminar series: Computational Social Philosophy Seminars (CSPS) and The Philosophy of Artificial Intelligence Network Talks (PAINT).
  • Currently Program Chair for ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2025; previously Tutorial Co-Chair for FAccT 2023 and Philosophy Area Chair for FAccT 2024.
Background
  • Assistant Professor of Philosophy and Computer Science at Northeastern University, jointly appointed in the Department of Philosophy and the Khoury College of Computer Sciences.
  • Research lies at the intersection of philosophy, technology ethics, cognitive science, and artificial intelligence.
  • Central research question: How should we evaluate and organize epistemic processes and practices in our diverse, interconnected, and technologically-mediated societies?
  • First research thread: Examines how AI systems are integrated into social contexts and how they should be evaluated and governed to advance epistemic, ethical, and political goals.
  • Second research thread: Investigates how diverse groups—from design teams to scientific communities—should be organized to leverage their differences while managing normative trade-offs.