A new podcast series from Data & Society and Public Books that explores the past, present, and future of data. Read more

This report identifies three major digital barriers to economic justice arising from the pandemic. Read more

A Poverty Lawyer’s Guide to Fighting Automated Decision-Making Harms on Low-Income Communities Read more

D&S founder and president sings praise for Virginia Eubank's new book Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. "This book should be mandatory for anyone who works in social service... Read on Points

D&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 Times

D&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 & Society

D&S advisor Baratunde Thurston details his exploration of The Glass Room exhibit. "I want to see The Glass Room everywhere there is an Apple Store…And anyone founding or working for a tech company should have to prove th... Read on Points

Predictive 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 more

D&S researcher Josh Scannell wrote an extensive analysis of predictive policing algorithms, showing that, while they were not built to be racist, they mirror a racist system. Northpointe’s algorithms will always be racist,... Read on Real Life Magazine

Predictive 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 more