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    Robots in Care and Everyday Life

    Future, Ethics, Social Acceptance

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    Contributor(s)
    Engel, Uwe (editor)
    Language
    English
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    Abstract
    This open access book presents detailed findings about the ethical, legal, and social acceptance of robots in the German and European context. The key resource is the Bremen AI Delphi survey of scientists and politicians and a related population survey. The focus is on trust in robotic assistance, human willingness to use this assistance, and the expected personal well-being in human-robot interaction. Using recent data from Eurostat, the European Social Survey, and the Eurobarometer survey, the analysis is extended to Germany and the EU. The acceptance of robots in care and everyday life is viewed against their acceptance in other contexts of life and the scientific research. The book reports on how the probability of five complex future scenarios is evaluated by experts and politicians. These scenarios cover a broad range of topics, including the worst-case scenario of cutthroat competition for jobs, the wealth promise of AI, communication in human-robot interaction, robotic assistance, and ethical and legal conflicts. International economic competition alone will ensure that countries invest sustainably in the future technologies of AI and robots. But will these technologies also be accepted by the population? The book raises the core issue of how governments can gain the needed social, ethical, and user acceptance of AI and robots in everyday life. This highly topical book is of interest to researchers, professionals and policy makers working on various aspects of human-robot interaction. This is an open access book.
    URI
    https://library.oapen.org/handle/20.500.12657/59370
    Keywords
    Assistant robots; Elderly care; Computational ethics; Artificial intelligence; Social ethical users’ acceptance; Health care; Social and chat bots; Trustworthy AI; Human robot interaction; AI driven society
    DOI
    10.1007/978-3-031-11447-2
    ISBN
    9783031114472, 9783031114472
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2023
    Grantor
    • Universität Bremen - [...]
    Imprint
    Springer International Publishing
    Series
    SpringerBriefs in Sociology,
    Classification
    Sociology
    Nursing
    Artificial intelligence
    Central / national / federal government policies
    Social work
    Pages
    130
    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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