This book investigates how algorithmic risk assessment tools perpetuate and codify racial discrimination within modern societal structures. Benjamin Wiggins, a scholar in the field of sociology and technology, examines the intersection of data-driven decision-making and systemic inequality. He argues that the reliance on statistical proxies in sectors such as insurance, criminal justice, and housing effectively masks and reinforces historical racial biases under the guise of objective calculation.

Experts in sociology and data ethics identify this work as a critical contribution to the study of algorithmic bias. Readers frequently note the academic density of the prose and the author's rigorous application of sociological theory to contemporary technological problems.