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
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
Georgia Law ReviewData & Society Postdoctoral Scholar Andrew Selbst argues for regulations in big data policing. "The way police are adopting and using these technologies means more people of color are arrested, jailed, or physically harmed... Read on Georgia Law ReviewFebruary 2018 -
Academic Article
SSRND&S lawyer-in-residence Rebecca Wexler provides an analysis on trade secrecy in the criminal justice system. Abstract is below: From policing to evidence to parole, data-driven algorithmic systems and other automated softw... Read moreFebruary 2017 -
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
University of Pennsylvania Law ReviewD&S Affiliate Solon Barocas and Advisors Edward W. Felten and Joel Reidenberg collaborate on a paper outlining the importance of algorithmic accountability and fairness, proposing several tools that can be used when designi... Read on University of Pennsylvania Law ReviewMarch 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