Hello world
by Hannah Fry
Hannah Fry's tour through the good, bad and ugly of algorithms that decide who goes to jail, gets healthcare, and drives our cars
"It's time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions".
Editorial Summary
Hannah Fry is Professor of the Public Understanding of Mathematics at Cambridge University and examines how algorithms already tell us what to watch, where to go, whom to date, and even whom to send to jail. As we rely on algorithms to automate big, important decisions in crime, justice, healthcare, transportation, and money, Fry reveals the moral quandaries they create. Through seven chapters covering Power, Data, Justice, Medicine, Cars, Crime, and Art, she explores specific examples like the COMPAS risk assessment tool and ProPublica investigation, PredPol predictive policing, and facial recognition systems that lead to false arrests. Hannah Fry demonstrates how human bias can literally be written into the code, making this essential reading for understanding our algorithmic age.
Perspective
"Hello World is the book you want before you have to make a decision that an algorithm is influencing — Fry makes the mechanics of bias, prediction, and automation comprehensible without oversimplifying them. Her distinctive contribution is the chapter structure: by organizing around domains (justice, medicine, cars) rather than techniques, she shows how the same algorithmic problems manifest differently depending on the stakes involved. Citizens, journalists, and policymakers who need to engage critically with algorithmic systems without becoming data scientists will find this the most practical primer available."
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