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        Artificial Intelligence and the Internet of Things

        UK Policy Opportunities and Challenges

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        Author(s)
        Bunz, Mercedes
        Janciute, Laima
        Language
        English
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        Abstract
        Through algorithms and artificial intelligence (AI), objects and digital services now demonstrate new skills they did not have before, right up to replacing human activity through pre-programming or by making their own decisions. As part of the internet of things, AI applications are already widely used today, for example in language processing, image recognition and the tracking and processing of data. This policy brief illustrates the potential negative and positive impacts of AI and reviews related policy strategies adopted by the UK, US, EU, as well as Canada and China. Based on an ethical approach that considers the role of AI from a democratic perspective and considering the public interest, the authors make policy recommendations that help to strengthen the positive impact of AI and to mitigate its negative consequences.
        URI
        https://library.oapen.org/handle/20.500.12657/97278
        Keywords
        AI regulation, algorithms, artificial intelligence, internet of things, policy
        DOI
        10.16997/book25
        ISBN
        9781911534839, 9781911534839
        Publisher
        University of Westminster Press
        Publisher website
        https://www.uwestminsterpress.co.uk/
        Publication date and place
        2018
        Imprint
        University of Westminster Press
        Classification
        Society and culture: general
        Media studies
        Pages
        31
        Rights
        https://creativecommons.org/licenses/by-nc-nd/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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