Artificial whiteness : politics and ideology in artificial intelligence /

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Bibliographic Details
Author / Creator:Katz, Yarden, author.
Imprint:New York : Columbia University Press, [2020]
Description:1 online resource (x, 340 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12872795
Hidden Bibliographic Details
ISBN:9780231551076
023155107X
9780231194907
0231194900
9780231194914
0231194919
Notes:Includes bibliographical references and index
Description based on online resource; title from digital title page (viewed on November 18, 2020)
Summary:"Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI's transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas? Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force. Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies"--
Other form:Print version Katz, Yarden Artificial whiteness New York : Columbia University Press, [2020] 9780231194907
Publisher's no.:EB00820863 Recorded Books
Review by Choice Review

Katz (currently a fellow in systems biology at Harvard Medical School) has made an auspicious debut in the world of book publishing--that is, if this volume released in late 2020 has predictive value. With a PhD in brain and cognitive sciences from MIT, Katz appears well prepared for this frontal assault on the flexible and nefarious association between whiteness and artificial intelligence--an assault drawing on an admixture of recognizable disciplines (including brain and cognitive sciences) and certain data-rich but theory-poor domains such as, e.g., "predictive policing." Throughout the text Katz helpfully informs the reader what is coming next and how successive chapters comprise a cohesive structure. Strategically placed tables, photos, and illustrations also act as virtual signposts throughout the text. Hence, Katz's core arguments sting as much at the conclusion as when they were introduced, namely, that AI is "a technology that serves whiteness by advancing its imperial and capitalist projects," and that it "performs this function by mimicking the structure of whiteness as an ideology." At a time when the nation is experiencing a festering crisis of racial (in)justice, few descriptions of insidious malfeasance could be as poignant. Aiding the reader in finding additional resources are Katz's meticulous notes, a comprehensive bibliography, and a more than adequate index. Summing Up: Highly recommended. Upper-division undergraduates. Graduate students, faculty, and professionals. --Daniel N. Nelson, Center for Arms Control & Nonproliferation

Copyright American Library Association, used with permission.
Review by Choice Review