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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video
DatabitesData & Society Fellow Jeanna Matthews speaks about algorithmic accountability and transparency within the context of the criminal justice system. Important decisions in our society are being made evermore frequently by o... Read moreJune 2018 -
podcast
video
DatabitesIn Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination... Read moreMay 2018 -
podcast
WNYC The TakeawayD&S lawyer-in-residence Rebecca Wexler describes the intersection of automated technologies, trade secrets, and the criminal justice system. For-profit companies dominate the criminal justice technologies industry and prod... Read on WNYC The TakeawayJune 2017 -
Longform
The New York TimesD&S resident Rebecca Wexler describes the flaws of an increasingly automated criminal justice system The root of the problem is that automated criminal justice technologies are largely privately owned and sold for profit... Read on The New York TimesJune 2017 -
Harvard Business ReviewJongbin Jung, Connor Concannon, D&S fellow Ravi Shroff, Sharad Goel, and Daniel G. Goldstein explore new methods for machine learning in criminal justice. Simple rules certainly have their advantages, but one might reasona... Read on Harvard Business ReviewApril 2017
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podcast
Data & SocietyD&S advisor Claudia Perlich discusses modeling, transparency, and machine learning in a new episode of the Partially Derivative podcast. “One pitfall I see is that it’s easy from a social science perspective to condemn all... Read on Data & SocietyJanuary 2017 -
podcast
video
Data & SocietyPredictive policing systems are increasingly used by law enforcement to try to prevent crime before it occurs. But what happens when these systems are trained using biased data? Machine learning algorithms ar... Read moreNovember 2016 -
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 -
video
ALDE GroupD&S founder danah boyd spoke at the Algorithmic Accountability and Transparency in the Digital Economy panel at the EU Parliament. Read on ALDE GroupNovember 2016 -
blog post
PointsD&S fellow Ravi Shroff examines Cathy O'Neil's analysis of criminal justice algorithms, like predictive policing. "There are a few minor mischaracterizations and omissions in this chapter of Weapons of Math Destruction t... Read on PointsOctober 2016