AccountabilityTransparencyEthicscs.CY
The Impact of Knowledge Silos on Responsible AI Practices in Journalism
Tomás Dodds, Astrid Vandendaele, Felix M. Simon, Natali Helberger, Valeria Resendez, Wang Ngai Yeung
October 2, 2024
arXiv.org
8 citations
Key Takeaways
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Different departments in newsrooms don't effectively communicate about AI: The study of four major Dutch media outlets found that technological, editorial, journalistic, and managerial teams operate in "knowledge silos," meaning information about AI stays within individual departments rather than being shared across the organization, which directly hampers responsible AI adoption.
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Knowledge silos create real barriers to responsible AI implementation: The research identified both individual and organizational barriers preventing AI knowledge from flowing between teams, suggesting that even when newsrooms want to adopt responsible AI practices, structural communication problems can prevent them from doing so effectively.
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Better organizational structures are essential: The study's key recommendation is that news organizations need to create improved systems and structures specifically designed to share AI information across all levels—from editors to managers to journalists—rather than leaving knowledge isolated in separate departments.
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The problem spans multiple major news organizations: These challenges weren't isolated to one outlet; researchers found similar knowledge silo issues across four significant Dutch media companies (de Telegraaf, de Volkskrant, NOS, and RTL Nederland), suggesting this is a widespread industry problem rather than an anomaly.