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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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