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Hello world

by Hannah Fry

4.0812 readers — via Open Library

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

"Anyone working in tech policy, criminal justice reform, or healthcare should read this now as algorithms increasingly determine life outcomes without public oversight. Fry's accessible explanations are crucial as we debate AI regulation, from the EU AI Act to concerns about algorithmic bias in hiring and policing that mirror today's debates about ChatGPT and generative AI fairness."

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