Efficiency Paradox

Edward Tenner, The Efficiency Paradox: What Big Data Can’t Do (2018)

From Arthur Molella (Smithsonian Lemelson Center for the Study of Invention and Innovation): “This masterly study challenges naïve assumptions that characterize our twenty-first-century world of electronic hyperefficiency. Computers, big data, and artificial intelligence are too often allowed to supersede human judgment and indeed undermine our very self-confidence as human beings. Yet no electronic machine can…

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Meredith Broussard, Artificial Unintelligence: How Computers Misunderstand the World (2018)

From Times Higher Education: “Illustrated with examples from Broussard’s own work and experience, this is an intensely personal journey that gives a real sense of travelling with a friend. Her descriptions of hackathons and other aspects of start-up culture are honest and atmospheric, capturing the social as well as the technical aspects of the marketplace…

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Ajay Agrawal, Joshua Gans, and Avi Goldfarb, Prediction Machines: The Simple Economics of Artificial Intelligence (2018)

From Susan Athey (Stanford University): “Prediction Machines is a path-breaking book that focuses on what strategists and managers really need to know about the AI revolution. Taking a grounded, realistic perspective on the technology, the book uses principles of economics and strategy to understand how firms, industries, and management will be transformed by AI.”

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Virginia Eubanks, Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)

From Henry Giroux (McMaster University): “Startling and brilliant… As Eubanks makes crystal clear, automation coupled with the new technologies of ethical abandonment and instrumental efficiency threaten not only the lives of millions who are viewed as disposable but also democracy itself. If you want to understand how this digital nightmare is reaching deep into the…