Sorelle A. Friedler
Scholar

Sorelle A. Friedler

Google Scholar ID: XDHr1VIAAAAJ
Shibulal Family Professor of Computer Science, Haverford College
Algorithmic FairnessInterpretabilityMachine LearningAI EthicsTech Policy
Citations & Impact
All-time
Citations
10,140
 
H-index
27
 
i10-index
34
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Key papers include work on disparate impact in machine learning and accelerating materials discovery with interpretable machine learning. Received grants for her work on fairness in machine learning, fairness and social networks, using interpretable machine learning techniques to inform scientific hypotheses, responsible CS education, and policy and discriminatory machine learning.
Research Experience
  • Previously served as the Assistant Director for Data and Democracy in the White House Office of Science and Technology Policy under the Biden-Harris Administration, where she co-authored the AI Bill of Rights and contributed to policy governing the federal use of AI. Worked as a software engineer at Alphabet (formerly Google), in the X lab and search infrastructure.
Education
  • Ph.D. in Computer Science from the University of Maryland, College Park; B.A. from Swarthmore College.
Background
  • Shibulal Family Professor of Computer Science at Haverford College, a Nonresident Senior Fellow at The Brookings Institution, and the Chair of ACM's U.S. Technology Policy Committee. Her research focuses on the fairness and interpretability of machine learning.
Miscellany
  • Co-Founder of the ACM Conference on Fairness, Accountability, and Transparency (FAccT). Research interests also include responsible computer science education and policy and discriminatory machine learning.