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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op-ed
Harvard Business ReviewD&S Researcher Alex Rosenblat examines how Uber’s app design and deployment redistributes management functions to semiautomated and algorithmic systems, as well as to consumer ratings systems, creating ambiguity around who ... Read on Harvard Business ReviewApril 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 -
op-ed
New York TimesIn this op-ed, Data & Society fellow Seeta Peña Gangadharan argues that the "rise of commercial data profiling is exacerbating existing inequities in society and could turn de facto discrimination into a high-tech enterpris... Read on New York TimesAugust 2014