Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens

Abstract As artificial intelligence (AI) continues to reshape society, its integration into journalism raises critical questions about transparency, accountability, and public trust. Existing AI regulations have largely been developed without meaningful public input, prompting concerns about whether current governance approaches adequately address societal expectations. This study investigates the expectations and concerns of Dutch citizens regarding mandatory AI disclosures in journalism through three focus groups ( N = 21). We aimed for a broad sample of participants to ensure diversity in terms of age, gender, and education level. Key questions measured the main concerns about AI-generated content, why participants want to know if they are interacting with AI-generated content and which rights individuals would like to have in this context. The results reveal a preference for participatory regulatory processes and standardized transparency measures, such as the disclosure of sources. The results further underscore the wish to be able to hold news organizations and individual AI users accountable when regulations are breached. The findings can inform news professionals and regulators alike, for example, in the context of the implementation of the AI transparency obligations in the European AI Act.

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Publication Details

Journal
AI & Society
Published
2025-09-04
DOI
https://doi.org/10.1007/s00146-025-02591-5
Citations
2
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
8.40
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article

Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens

Laurens Naudts, Sophie Morosoli, Hannes Cools, Claes H. de Vreese et al.
2 citations
AI & Society
Privacy, Security, and Data Protection
8.40
article

Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens

Laurens Naudts, Sophie Morosoli, Hannes Cools, Claes H. de Vreese, Karthikeya Puttur Venkatraj, Natali Helberger
article en
2 citations

Abstract

Abstract As artificial intelligence (AI) continues to reshape society, its integration into journalism raises critical questions about transparency, accountability, and public trust. Existing AI regulations have largely been developed without meaningful public input, prompting concerns about whether current governance approaches adequately address societal expectations. This study investigates the expectations and concerns of Dutch citizens regarding mandatory AI disclosures in journalism through three focus groups ( N = 21). We aimed for a broad sample of participants to ensure diversity in terms of age, gender, and education level. Key questions measured the main concerns about AI-generated content, why participants want to know if they are interacting with AI-generated content and which rights individuals would like to have in this context. The results reveal a preference for participatory regulatory processes and standardized transparency measures, such as the disclosure of sources. The results further underscore the wish to be able to hold news organizations and individual AI users accountable when regulations are breached. The findings can inform news professionals and regulators alike, for example, in the context of the implementation of the AI transparency obligations in the European AI Act.

AI & SocietyVol. 41(2)
Centrum Wiskunde & Informatica (NL), Amsterdam University of the Arts (NL), University of Amsterdam (NL)
Openalex Percentile: Top 3%
Privacy, Security, and Data Protection
8.40
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Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens — Laurens Naudts, Sophie Morosoli, et al. · AI & Society (2025) | TGRS Research Map | TGRS