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    Algorithmen und Autonomie

    Interdisziplinäre Perspektiven auf das Verhältnis von Selbstbestimmung und Datenpraktiken

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    Contributor(s)
    Verständig, Dan (editor)
    Kast, Christina (editor)
    Stricker, Janne (editor)
    Nürnberger, Andreas (editor)
    Language
    German
    Show full item record
    Abstract
    We live in a world of algorithmic sorting and decision-making. Mathematical models curate our social relationships, influence our elections and even decide whether we should go to prison or not. But how much do we really know about code, algorithmic structures and how they work? This book turns to questions of autonomy in the digital age from an interdisciplinary perspective, combining contributions from philosophy, education and cultural studies with computer science.
     
    Wir leben in einer Welt der algorithmischen Sortierung und Entscheidungsfindung. Mathematische Modelle kuratieren unsere sozialen Beziehungen, beeinflussen unsere Wahlen und entscheiden sogar darüber, ob wir ins Gefängnis gehen sollten oder nicht. Aber wie viel wissen wir wirklich über Code, algorithmische Strukturen und deren Wirkweisen? Der Band wendet sich den Fragen der Autonomie im digitalen Zeitalter aus einer interdisziplinären Perspektive zu, indem er Beiträge aus Philosophie, Erziehungs- und Kulturwissenschaft mit der Informatik verbindet.
     
    URI
    https://library.oapen.org/handle/20.500.12657/58888
    Keywords
    Algorithmen;algorithms;digitalisation;Digitalisierung;Bildung;education;Selbstschutz;self protection;control;Kontrolle;freedom;Freiheit;decision;Selbstbestimmung;Entscheidung;Künstliche Intelligenz;digital;Intelligenz;Kreativität;Politik;Demokratie
    DOI
    10.3224/84742520
    ISBN
    9783847425205, 9783847417200
    Publisher
    Verlag Barbara Budrich
    Publisher website
    https://budrich.eu/
    Publication date and place
    2022
    Classification
    Philosophy and theory of education
    Pages
    161
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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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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