MURAL - Maynooth University Research Archive Library



    Governing Artificial Intelligence in the Media and Communications sector


    Pierson, Jo, Kerr, Aphra, Robinson, Cory, Fanni, Rosanna, Steinkogler, Valerie, Milan, Stefani and Zampedri, Giulia (2023) Governing Artificial Intelligence in the Media and Communications sector. Internet Policy Review, 12 (1).

    [thumbnail of governing-artificial-intelligence-media-and-communications-sector] Text
    governing-artificial-intelligence-media-and-communications-sector - Published Version
    Available under License Creative Commons Attribution.

    Download (311kB)
    Official URL: https://policyreview.info/articles/governing-artif...

    Abstract

    The article analyses critical blindspots in current European Artificial Intelligence (AI) policies and examines the potential impact of data and AI in the emerging socio-technical ecosystem of the contemporary Media and Communications (MC) sector from the perspective of critical media and communication studies. We first identify central blind spots in the dominant EU trustworthy and risk-based approach to governing AI. Next, we propose a novel multi-level framework to analyse key policy challenges for governing AI in the MC sector. The framework and discussion are based on desk research and multi-stakeholder expert discussions. The article concludes with reflections on AI governance in development, deployment and use in the MC sector.
    Item Type: Article
    Keywords: Artificial intelligence; Trust; AI governance; European policymaking;
    Academic Unit: Faculty of Social Sciences > Sociology
    Item ID: 16961
    Identification Number: 10.14763/2023.1.1683
    Depositing User: Prof. Aphra Kerr
    Date Deposited: 22 Feb 2023 12:04
    Journal or Publication Title: Internet Policy Review
    Refereed: Yes
    Funders: ADAPT Centre, funded under the Science Foundation Ireland Research Centres Programme (Grant 13/RC/2106_P2)
    URI: https://mu.eprints-hosting.org/id/eprint/16961
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads