Sorelle Friedler is an assistant professor of computer science at Haverford College. Her current research focuses on ways to prevent machine learning algorithms from discriminating by replicating prejudicial decisions and formalizing notions of fairness across disciplines. She will also be working with lawyers and policymakers to communicate the risks of such automated decisions and the potential benefits of ensuring computational fairness.
Sorelle Friedler

All Work
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Academic Article
SSRNIn this paper, authors identify the challenges to integrating fairness into machine learning based systems and suggest next steps. "In this paper, however, we contend that these concepts render technical interventions ineffect... Read on SSRNDecember 2018 -
op-ed
MIT Technology ReviewD&S affiliate Sorelle Friedler, with Nicholas Diakopoulos, discuss five principles to hold algorithmic systems accountable. Recent investigations show that risk assessment algorithms can be racially biased, generating scor... Read on MIT Technology ReviewNovember 2016 -
Academic Article
NatureSorelle FriedlerPaul RaccugliaKatherine C. ElbertPhilip D.F. AdlerCasey FalkMalia B. WennyAurelio MolloMatthias ZellerD&S fellow Sorelle Friedler's latest research appears in Nature. She and her team document their creation of a machine-learning algorithm that accurately predicts new ways to make crystals. The team trained the algorithm u... Read on NatureMay 2016 -
Academic Article
SSRND&S Fellow Sorelle Friedler and D&S Affiliate Ifeoma Ajunwa argue in this essay that well settled legal doctrines that prohibit discrimination against job applicants on the basis of sex or race dictate an examination of... Read on SSRNMarch 2016 -
Academic Article
arXivSuresh VenkatasubramanianSorelle FriedlerPhilip D.F. AdlerCasey FalkGabriel RybeckCarlos E ScheideggerBrandon SmithThe ubiquity and power of machine learning models in society to determine and control an increasing number of real-world decisions presents a challenge. D&S fellow Sorelle Friedler and a team of researchers have developed ... Read on arXivFebruary 2016 -
Academic Article
arXiv.orgD&S fellow Sorelle Friedler and her research colleagues investigate the ways that algorithms make decisions in all aspects of our lives and whether or not we can determine if these algorithms are biased, involve illegal dis... Read on arXiv.orgJuly 2015