Please use this identifier to cite or link to this item:
https://bura.brunel.ac.uk/handle/2438/33795| Title: | Governing Diversity through AI: DEI and Procedural Trust in Public Service Media |
| Authors: | Malik, Sarita Khorana, Sukhmani Dreher, Tanja |
| Keywords: | diversity;AI;trust;UK;Australia;public service media |
| Issue Date: | 5-Aug-2026 |
| Publisher: | SAGE Publications |
| Citation: | Malik, S., Khorana, S. and Dreher, T. (2026) 'Governing Diversity through AI: DEI and Procedural Trust in Public Service Media', International Journal of Cultural Studies, 0(ahead of print), pp. 1–22. doi: 10.1177/13678779261472. |
| Abstract: | Public service media are adopting artificial intelligence at a moment when diversity, equity and inclusion policies are increasingly politicised. Drawing on comparative qualitative research in the United Kingdom and Australia, this article examines how AI is embedded within Public Service Media governance and platformised audience infrastructures. We argue that AI operates not merely as a technical tool but as a cultural and institutional logic through which diversity, risk and legitimacy are reconfigured. In this shift, trust in diversity moves from relational practices grounded in representation and accountability toward procedural confidence embedded in automated systems, standards and compliance regimes. We conceptualise this transformation as the rise of <i>procedural trust</i>: a reorganisation of institutional legitimacy through technical infrastructures rather than social relations. Our thematic analysis shows how platform capitalism reshapes public service media by depoliticising diversity and redistributing responsibility across governance systems, with significant implications for democratic legitimacy. |
| Description: | Data availability statement: This study did not generate or analyse any datasets, as it is based entirely on conceptual and theoretical reasoning. |
| URI: | https://bura.brunel.ac.uk/handle/2438/33795 |
| DOI: | https://doi.org/10.1177/13678779261472 |
| ISSN: | 1367-8779 |
| Appears in Collections: | Department of Social and Political Sciences Research Papers * |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © The Author(s) 2026. Rights and permissions: Creative Commons License (CC BY 4.0) This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). | 405.11 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License