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    Chapter 14 Artificial intelligence in the European Union

    Proposal review

    Policy, ethics and regulation

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    Author(s)
    Ulnicane, Inga
    Language
    English
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    Abstract
    In the context of recent advances in Artificial Intelligence (AI) and launch of AI policy documents and ethics guidelines around the world, since 2017, the European Union (EU) is developing its approach to AI. This chapter examines the key EU AI policy documents and the way the EU is positioning its AI policy vis-à-vis other global players. It draws on ‘Europe as a power’ debate and in particular on the concepts of Normative Power Europe and Market Power Europe to examine if in its approach to AI the EU prioritizes its norms or rather its market power. In the EU policy documents the elements of both normative and market power are closely intertwined. The EU attempts to project itself globally as a Normative Power Europe promoting its value-based and human-centric approach based and ethics guidelines for Trustworthy AI. These are closely connected with the EU’s ambitions to be a Market Power with appropriate regulation and investments which could also support implementation of its values and norms.
    Book
    The Routledge Handbook of European Integrations
    URI
    https://library.oapen.org/handle/20.500.12657/52622
    Keywords
    CAP; Common Market; EDA; Erasmus; European integration; European Armament; CERN; European media; Eurozone; ITER; European tourism; Artificial Intelligence; European Union; policy; ethics; regulation
    DOI
    10.4324/9780429262081-19
    ISBN
    9780367203078, 9781032182421, 9780429262081
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    In the con
    Grantor
    • De Montfort University
    Imprint
    Routledge
    Classification
    Politics and government
    Pages
    17
    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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