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生成式人工智能的两难困境:2025年议会选举期间挪威新闻编辑室对生成式人工智能的使用

The GenAI Catch-22: Use of Generative Artificial Intelligence in Norwegian Newsrooms During the 2025 Parliamentary Election

Mari Reisjå, Anders Sundnes Løvlie

arXiv 2608.10773首次发表:更新:

发表机构

IT University of Copenhagen(哥本哈根信息技术大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究以2025年挪威议会选举期间新闻编辑室使用GenAI为案例,发现其存在两难困境:依赖人类专业知识监控GenAI却因过度使用导致专业知识退化,原本面向受众的GenAI服务计划落空,转而用于内部普通用途。

AI 中文摘要

生成式人工智能(GenAI)在新闻业中的应用日益广泛,引发了人们对其可能对新闻业及其民主功能产生不利影响的担忧。我们通过对2025年议会选举期间挪威新闻编辑室中GenAI的使用情况进行案例研究,探讨这些风险。基于对经理和记者历时十个月的访谈,我们分析了雄心勃勃的愿景在面对技术和实际挑战时的表现。我们强调了源于记者自身使用AI所带来的内部威胁风险,这与外界对虚假信息威胁的主导关注形成了对比。我们展示了新闻编辑室经理如何共享社会技术想象,从而形成对技术能力和发展速度的不切实际的乐观信念,这导致面向受众的GenAI服务计划失败,转而在新闻编辑室内部采用更普通的GenAI工具用途。此外,我们确定了新闻编辑室抵御GenAI影响的能力中存在的一个漏洞:GenAI的两难困境(Catch-22)。为了监控GenAI工具并防止错误和不当影响,新闻编辑室依赖专业知识。但通过广泛使用GenAI,新闻编辑室存在人类专业知识退化的风险,这会阻止他们充分监控GenAI系统。

英文摘要

The increasing use of Generative Artificial Intelligence (GenAI) in journalism raises concerns about possible detrimental effects both on journalism and its democratic function. We explore these risks through a case study of GenAI in Norwegian Newsrooms during the 2025 parliamentary election campaign. Based on interviews with managers and journalists over a ten-month period, we analyse how ambitious visions fared in the face of technological and practical challenges. We highlight the risk of an internal threat stemming from the journalists' own use of AI, contrasting the dominant focus on external disinformation threats. We show how newsroom managers shared sociotechnical imaginaries resulting in unrealistically optimistic beliefs about the capabilities of the technology and the pace of development, leading to plans for audience-facing GenAI services collapsing and giving way to more mundane uses of GenAI tools internally in the newsrooms. Furthermore, we identify a vulnerability in the newsroom's resilience against GenAI influence: a GenAI Catch-22. In order to monitor the GenAI tools and prevent errors and undue influence, newsrooms rely on human expertise. But by using GenAI extensively, the newsrooms risk a deterioration of human expertise, preventing them from monitoring the GenAI systems adequately.

论文原文

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