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

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

연구 분야: Artificial Intelligence

학회: AI & SOCIETY

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.