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
The Globe and MailThe new-found power of gig economy workers. Read on The Globe and MailJune 2020 -
op-ed
The New York TimesThe Algorithmic Accountability Act is a step forward, but there's still room for improvement. Postdoctoral Scholar Andrew Selbst and Margot Kaminski explain. "The bill is a meaningful first step in addressing the problems ... Read on The New York TimesMay 2019 -
op-ed
Slate2017-2018 Fellow Jeanna Matthews and Research Analyst Kinjal Dave respond to Deji Olukotun's story about an algorithmic tennis match. "The answer can’t be derived from the past alone: It depends on what we collectively decide... Read on SlateAugust 2018 -
op-ed
MIT Technology ReviewD&S affiliate Sorelle Friedler, with Nicholas Diakopoulos, discuss five principles to hold algorithmic systems accountable. Recent investigations show that risk assessment algorithms can be racially biased, generating scor... Read on MIT Technology ReviewNovember 2016 -
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