A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.

CODED BIAS explores the fallout of MIT Media Lab researcher Joy Buolamwini’s discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.

Automating Inequality systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America.

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms

A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric.