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
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 -
op-ed
New York TimesIn this op-ed, Data & Society fellow Seeta Peña Gangadharan addresses the question "Can Crime Be Ethically Predicted?" and argues that bias is inherent in the technical systems used in predictive policing leading to "fundam... Read on New York TimesNovember 2015 -
Resource
Data & SocietyThis primer examines the construction of predictive algorithms; how they are are used in the court system; and the role of data in evidence-based sentencing. Read moreOctober 2015 -
Resource
Data & SocietyPredictive policing refers to the use of analytical techniques to make statistical predictions about potential criminal activity. The basic underlying assumption of predictive policing is that crime is not randomly distributed ... Read moreOctober 2015 -
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 -
event
Data & SocietyOn May 19, 2015 a group of about 20 individuals gathered at New America in Washington, DC for a discussion co-hosted by The Leadership Conference on Civil and Human Rights, Data & Society Research Institute, Upturn, and New... Read moreJune 2015 -
video
The Agenda with Steve Paikin"Algorithms are a part of our daily lives, impacting everything from our Internet searches, to our credit scores, healthcare and policing. As they become more ubiquitous, The Agenda asks whether we should allow ourselves to be ... Read on The Agenda with Steve PaikinMarch 2015 -
podcast
Radio NZ"Seeta Gangadharan is a Senior Research Fellow at the Open Technology Institute in Washington DC [and a D&S fellow]. She discusses the automated systems, known as algorithms, that are replacing human discretion more and mor... Read on Radio NZFebruary 2015