A compelling look at how algorithms can reinforce inequality when they are opaque, poorly designed, or used without accountability. O’Neil shows how mathematical models can appear objective while embedding human biases and creating real consequences in areas like hiring, education, lending, and policing.
My biggest takeaway: an algorithm isn’t automatically fair just because it’s mathematical. The book is a useful reminder to question who built a model, what it measures, and who bears the consequences when it gets things wrong.
5 days ago
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