Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
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Academic Article
NatureKellie Owens and Alexis Walker list some concrete steps to enable anti-racist practices in medical research and practice. Read on NatureSeptember 2020 -
Academic Article
Data & SocietyThis paper critically examines existing modes of participation in design practice and machine learning. Read moreJuly 2020 -
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 -
Academic Article
Criminal Justice and BehaviorData & Society Fellow Cynthia Conti-Cook and co-authors assess the bias involved in risk assessment tools. "In the top layer, we identify challenges to fairness within the risk-assessment models themselves. We explain type... Read on Criminal Justice and BehaviorNovember 2018 -
Academic Article
Fordham Law ReviewThis paper is a response to calls for explainable machines by Data & Society Postdoctoral Scholar Andrew Selbst and Affiliate Solon Barocas. "We argue that calls for explainable machines have failed to recognize the connec... Read on Fordham Law ReviewMarch 2018 -
Academic Article
Florida Law Review ForumThe mythology surrounding “big data” rests on the notion that technical systems can increase efficiency and decrease bias. Such “neutral” systems are supposedly good for implementing legal logic because, like these systems, law... Read on Florida Law Review ForumAugust 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
SIGCASAbstract: What claims are made about the objectivity of machines versus that of human experts? Whereas most current debates focus on the growing impact of algorithms in the age of Big Data, I argue here in favor of taking a lon... Read on SIGCASMarch 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