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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); KU Select 2019: HSS Frontlist Books
        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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