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
Engaging Science, Technology, and SocietyIn this article, Research Lead Madeleine Clare Elish investigates who bears the responsibility when an automated system fails. "Just as the crumple zone in a car is designed to absorb the force of impact in a crash, the human ... Read on Engaging Science, Technology, and SocietyMay 2019 -
Academic Article
Sage JournalsD&S affiliate Kate Crawford co-wrote, with Mike Ananny, this piece discussing transparency and algorithmic accountability. Models for understanding and holding systems accountable have long rested upon ideals and logics of... Read on Sage JournalsDecember 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
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