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    The Democratization of Artificial Intelligence

    Net Politics in the Era of Learning Algorithms (Edition 1)

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    Contributor(s)
    Sudmann, Andreas (editor)
    Collection
    Knowledge Unlatched (KU)
    Number
    104628
    Language
    English
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    Abstract
    After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
    URI
    https://library.oapen.org/handle/20.500.12657/43874
    Keywords
    Social Science; Media Studies
    DOI
    https://doi.org/10.14361/9783839447192
    ISBN
    9783839447192
    Publisher
    transcript Verlag
    Publisher website
    https://www.transcript-verlag.de/
    Publication date and place
    Bielefeld, 2019
    Grantor
    • Knowledge Unlatched
    Imprint
    transcript Verlag
    Classification
    Media studies
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • Harvested from KU

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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