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    Humane Autonomous Technology

    Re-thinking Experience with and in Intelligent Systems

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    Contributor(s)
    Rousi, Rebekah (editor)
    von Koskull, Catharina (editor)
    Roto, Virpi (editor)
    Language
    English
    Show full item record
    Abstract
    This open access book takes a human-focused multidisciplinary look at the ways in which autonomous technology shapes experience, affecting human lives and ways of working in settings ranging from the arts, design, and service to maritime and industry. The book focuses on the humane, observing how technology can be designed and implemented in an ethical, human-centered way. Chapters in this book highlight factors that impinge on the humane and ethical, such as challenging questions of intellectual property rights, roles of humans, biases, and the uptake of other deviant human traits. Through delving into a range of dimensions and contexts from culture, the arts and design, to service, heavy industry and maritime, the contributors demonstrate that artificial intelligence and its related autonomous systems need to be understood holistically, as a system of systems, that should be working for the benefit of human present and future.
    URI
    https://library.oapen.org/handle/20.500.12657/94667
    Keywords
    artificial intelligence; autonomous systems; design; humane; user experience; ethics; digital transformation; human; wellbeing; creativity
    DOI
    10.1007/978-3-031-66528-8
    ISBN
    9783031665288, 9783031665271, 9783031665288
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2024
    Imprint
    Palgrave Macmillan
    Classification
    Society and culture: general
    Artificial intelligence
    Psychology
    Media studies
    Human geography
    Pages
    349
    Rights
    http://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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