两篇新研究论文探讨了在新闻制作中披露人工智能使用所面临的挑战。第一篇论文侧重于新闻流程，发现简单的标签不足以说明问题，并开发了可视化原型来更好地展示人机协作，同时指出可视化可能会无意中改变对AI角色的看法。第二篇论文强调，目前无论是简短标签还是详细解释的披露方法，都未能建立读者信任，甚至可能造成“透明度困境”。研究表明，读者更喜欢以用户为中心、交互式的人工智能披露设计。 AI
影响 更好的人工智能披露方法可以增加读者信任，并促进人工智能在新闻编辑室的应用。
排序理由 两篇在arXiv上发表的关于新闻业人工智能披露的学术论文。
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arXiv:2601.11072v1 Announce Type: cross Abstract: Within journalistic editorial processes, disclosing AI usage is currently limited to simplistic labels, which misses the nuance of how humans and AI collaborated on a news article. Through co-design sessions (N=10), we elicited 69…
arXiv:2606.11116v1 Announce Type: cross Abstract: As newsrooms integrate generative AI, journalists face a disclosure challenge: how to communicate AI involvement in ways that maintain reader trust. Current practice offers two approaches: brief one-line labels or detailed disclos…
As newsrooms integrate generative AI, journalists face a disclosure challenge: how to communicate AI involvement in ways that maintain reader trust. Current practice offers two approaches: brief one-line labels or detailed disclosures specifying human oversight, editorial account…