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arXiv 2507.03216cs.CYcs.AIcs.DLcs.ET
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数字人文研究中生成式人工智能使用披露

Disclosing Generative AI Use in Digital Humanities Research

Indiana University Bloomington(印第安纳大学伯明顿分校);University of Missouri(密苏里大学);University of Nebraska-Lincoln(内布拉斯加大学林肯分校)

Rongqian Ma, Xuhan Zhang, Adrian Wisnicki

AI总结:

该调查研究揭示了数字人文学者对生成式AI披露的认知与实践差距,指出披露率低、观点分歧及对机构政策的偏好,为制定有效披露政策提供实证依据。

摘要:

本调查研究探讨了数字人文学者如何看待和处理研究中的生成式人工智能披露问题。结果表明,尽管数字人文学者承认披露GenAI使用的重要性,但研究实践中的实际披露率仍然很低。受访者在哪些活动最需要披露以及最合适的披露方法上存在分歧。大多数人还认为,人工智能披露的保障措施应通过机构政策来建立,而不是留给个人决定。该研究的发现将为学者、机构领导者、资助者以及其他负责制定有效披露政策的相关方提供实证指导。

英文摘要:

This survey study investigates how digital humanists perceive and approach generative AI disclosure in research. The results indicate that while digital humanities scholars acknowledge the importance of disclosing GenAI use, the actual rate of disclosure in research practice remains low. Respondents differ in their views on which activities most require disclosure and on the most appropriate methods for doing so. Most also believe that safeguards for AI disclosure should be established through institutional policies rather than left to individual decisions. The study's findings will offer empirical guidance to scholars, institutional leaders, funders, and other stakeholders responsible for shaping effective disclosure policies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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