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  • 1
    Article
    Article
    In:  More-than-Human (2020), Seite 300-313 | year:2020 | pages:300-313
    ISBN: 9789083015293
    Language: English
    Titel der Quelle: More-than-Human
    Publ. der Quelle: Rotterdam : Het Nieuwe Instituut, 2020
    Angaben zur Quelle: (2020), Seite 300-313
    Angaben zur Quelle: year:2020
    Angaben zur Quelle: pages:300-313
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  • 2
    ISBN: 978-3-95679-563-3
    Language: English
    Pages: 230 Seiten.
    Series Statement: On the antipolitical volume 2
    Series Statement: On the antipolitical
    RVK:
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz. ; Algorithmus. ; Diskriminierung. ; Rassismus. ; Maschinelles Lernen. ; Computerunterstütztes Lernen. ; Statistik. ; Wissenschaftlichkeit. ; Künstliche Intelligenz ; Algorithmus ; Diskriminierung ; Rassismus ; Rassismus ; Maschinelles Lernen ; Computerunterstütztes Lernen ; Statistik ; Wissenschaftlichkeit
    Abstract: To impair the racial ordering of the world, The Black Technical Object introduces the history of statistical analysis and "scientific" racism into research on machine learning. Computer programming designed for taxonomic patterning, machine learning offers useful insights into racism and racist behavior, but its connection to the racial history of science and the Black lived experience has yet to be developed. In this book, Ramon Amaro explores how the history of data and statistical analysis informs the complex relationship between race and machine learning. He juxtaposes a practical analysis of this type of computerized learning with a theory of Black alienation in order to inspire alternative approaches to contemporary algorithmic practice. In doing so, Amaro contemplates the abstruse nature of programming and mathematics, as well as the deep incursion of racial hierarchies.
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  • 3
    ISBN: 9783956795633 , 3956795636
    Language: English
    Pages: 230 Seiten
    DDC: 305
    Abstract: To impair the racial ordering of the world, The Black Technical Object introduces the history of statistical analysis and ?scientific? racism into research on machine learning. Computer programming designed for taxonomic patterning, machine learning offers useful insights into racism and racist behavior, but its connection to the racial history of science and the Black lived experience has yet to be developed. In this book, Ramon Amaro explores how the history of data and statistical analysis informs the complex relationship between race and machine learning. He juxtaposes a practical analysis of this type of computerized learning with a theory of Black alienation in order to inspire alternative approaches to contemporary algorithmic practice. In doing so, Amaro contemplates the abstruse nature of programming and mathematics, as well as the deep incursion of racial hierarchies
    Library Location Call Number Volume/Issue/Year Availability
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