The manifestation of broadcast journalists' professional beliefs in their opinion of generative AI practice
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This project explored how journalists' professional beliefs shape the use of generative artificial intelligence (AI) in U.S. broadcast newsrooms. Based on semistructured interviews with newsroom leaders, editors, and innovation specialists, the study explores how journalistic beliefs and values, such as editorial judgment, transparency, and public accountability, guide decisions about AI integration. While existing literature often focuses on the technical potential of AI, this research emphasizes human-centered negotiation, which determines how AI is used in realworld newsroom settings. Journalists widely framed AI as a supportive tool rather than a replacement, expressing enthusiasm for its ability to improve efficiency while maintaining that core editorial responsibilities must remain in human hands. The study also reveals internal policy inconsistencies, resource limitations in local newsrooms, and tensions surrounding disclosure practices. These findings suggest that successful AI adoption in journalism depends not only on technical capacity but on the profession's enduring ethical standards and commitment to public trust.
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M.A.