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).
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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 |
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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 |
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