{"product_id":"more-than-a-glitch-isbn-9780262548328","title":"More than a Glitch","description":"\u003cb\u003eWhen technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eThe word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery—what if they're coded into the system itself? In the vein of heavy hitters such as Safiya Umoja Noble, Cathy O'Neil, and Ruha Benjamin, Meredith Broussard demonstrates in \u003ci\u003eMore Than a Glitch\u003c\/i\u003e how neutrality in tech is a myth and why algorithms need to be held accountable.\u003cbr\u003e\u003cbr\u003eBroussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences.\u003cbr\u003e\u003cbr\u003eBroussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of \u003ci\u003eMore Than a Glitch\u003c\/i\u003e are essential reading for anyone invested in building a more equitable future.Table of Contents\u003cbr\u003e\u003cbr\u003e1 Introduction 1\u003cbr\u003e2 Understanding Machine Bias 11\u003cbr\u003e3 Recognizing Bias in Facial Recognition 29\u003cbr\u003e4 Machine Fairness and the Justice System 45\u003cbr\u003e5 Real Students, Imaginary Grades 65\u003cbr\u003e6 Ability and Technology 79\u003cbr\u003e7 Gender Rights and Databases 103\u003cbr\u003e8 Diagnosing Racism 117\u003cbr\u003e9 An AI Told Me I Had Cancer 135\u003cbr\u003e10 Creating Public Interest Technology 157\u003cbr\u003e11 Potential Reboot 173\u003cbr\u003eAcknowledgments 189\u003cbr\u003eNotes 193\u003cbr\u003eBibliography 205\u003cbr\u003eIndex 223Meredith Broussard is Associate Professor at the Arthur L. Carter Journalism Institute of New York University and Research Director at the NYU Alliance for Public Interest Technology. She is the author of Artificial Unintelligence: How Computers Misunderstand the World (MIT Press). Her work has been featured in the New Yorker, the New York Times, the Atlantic, BBC, Wired, the Economist, and more. She appears in the 2020 documentary Coded Bias and serves on the advisory board for the Center for Critical Race \u0026amp; Digital Studies. More information at @merbroussard or meredithbroussard.com.","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46304262553829,"sku":"NP9780262548328","price":23.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262548328.jpg?v=1767732970","url":"https:\/\/k12savings.com\/products\/more-than-a-glitch-isbn-9780262548328","provider":"K12savings","version":"1.0","type":"link"}