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dc.contributor.authorPIERSON, Jo
dc.contributor.authorKERR, Aphra
dc.contributor.authorROBINSON, Cory
dc.contributor.authorFANNI, Rosanna
dc.contributor.authorSTEINKOGLER, Valerie
dc.contributor.authorMILAN, Stefania
dc.contributor.authorZAMPEDRI, Giulia
dc.date.accessioned2024-01-29T08:22:11Z
dc.date.available2024-01-29T08:22:11Z
dc.date.issued2023
dc.identifier.citationInternet policy review, 2023, Vol. 12, No. 1, OnlineOnlyen
dc.identifier.issn2197-6775
dc.identifier.urihttps://hdl.handle.net/1814/76392
dc.descriptionPublished online: 21 February 2023en
dc.description.abstractThe 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.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherAlexander von Humboldt Institute for Internet and Societyen
dc.relation.ispartofInternet policy reviewen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleGoverning artificial intelligence in the media and communications sectoren
dc.typeArticleen
dc.identifier.doi10.14763/2023.1.1683
dc.identifier.volume12en
dc.identifier.issue1en
dc.rights.licenseAttribution 4.0 International*


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International