An editor identifies four major challenges of using generative AI in academic writing

An editor identifies four major challenges of using generative AI in academic writing
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In short: An analysis of editorial experiences at Springer Nature found that co-writing with generative AI presents four primary hurdles for scholars: detection, sourcing, writing, and attitude. The paper highlights how current publisher guidelines often lack practical utility for authors navigating these new technologies.

Drawing on the author's experience editing various Springer Nature publications, the paper explores the complexities of human-AI collaboration. While the findings are based on a specific publishing context, they may apply more broadly to humanities and social sciences publishing. However, the insights are rooted in a single publisher's perspective.

Why it matters: As generative AI enters academia, editors face significant new hurdles in managing authorship and ethics.

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