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  • Englisch  (2)
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  • 1
    Buch
    Buch
    New York : New York University Press
    UID:
    b3kat_BV044748837
    Umfang: xv, 229 Seiten , Illustrationen , 23 cm
    ISBN: 9781479849949 , 9781479837243
    Inhalt: In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance—operating as a source for email, a major vehicle for primary and secondary school learning, and beyond—understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Quelle/Source: Klappentext
    Anmerkung: Dissertation California State University
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-4798-6676-2
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-4798-3364-1
    Sprache: Englisch
    Fachgebiete: Informatik , Ethnologie , Allgemeines , Soziologie
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    Schlagwort(e): Internet ; Suchmaschine ; Algorithmus ; Diskriminierung ; Rassismus ; Hochschulschrift
    Mehr zum Autor: Noble, Safiya Umoja
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Buch
    Buch
    New Jersey : World Scientific
    UID:
    gbv_1831297345
    Umfang: xv, 179 Seiten , Illustrationen, Diagramme , 24 cm
    ISBN: 9789811266621 , 9780000991188
    Inhalt: "In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. In response, researchers and organizations have been working to publish principles and develop AI regulations for the responsible use of AI in consequential application domains. However, these theoretically formulated principles and regulations also need to be turned into actionable algorithms to materialize AI for good. This book introduces a unified perspective of Socially Responsible AI to help bridge conceptual AI principles to responsible AI practice. It begins with an interdisciplinary definition of socially responsible AI and the AI responsibility pyramid. Existing efforts seeking to materialize the mainstream responsible AI principles are then presented. The book also discusses how to leverage advanced AI techniques to address the challenging societal issues through Protecting, Informing, and Preventing, and concludes with open problems and challenges. This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges of socially responsible AI, and to identify how their areas of expertise can contribute to making AI socially responsible"--
    Anmerkung: Literaturverzeichnis: Seite 161-175
    Weitere Ausg.: ISBN 9789811266638
    Weitere Ausg.: ISBN 9789811266645
    Weitere Ausg.: Erscheint auch als Online-Ausgabe Lu, Chen Socially responsible AI New Jersey : World Scientific, 2023 ISBN 9789811266638
    Weitere Ausg.: ISBN 9789811266645
    Sprache: Englisch
    Schlagwort(e): Künstliche Intelligenz ; Soziale Verantwortung ; Theorie ; Praxis
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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