Description

When 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.

The 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 More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable.

Broussard, 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 lendin

More than a Glitch

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Paperback by Meredith Broussard

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When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create... Read more

    Publisher: MIT Press
    Publication Date: 4/2/2024
    ISBN13: 9780262548328, 978-0262548328
    ISBN10: 0262548321

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    When 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.

    The 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 More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable.

    Broussard, 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 lendin

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