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A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative AI technologies in digital humanities research
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本文探讨了数字人文学者如何采用和评估生成式人工智能技术,通过国际调查和访谈分析,揭示了学者对AI在学术研究中的角色存在分歧,并从历史和理论视角分析了AI对数字人文领域的影响。

arXiv:2404.12458v3 Announce Type: replace Abstract: The advent of generative artificial intelligence (GenAI) technologies has been changing the research landscape and potentially has significant implications for Digital Humanities (DH), a field inherently intertwined with technologies. This article investigates how DH scholars adopt and critically evaluate GenAI technologies for research. Drawing on 76 responses collected from an international survey study and 15 semi-structured interviews with DH scholars, we explored the rationale for adopting GenAI tools in research, identified the specific practices of using GenAI tools, and analyzed scholars' collective perceptions regarding the benefits, risks, and challenges. The results reveal that DH research communities hold divided opinions and differing imaginations towards the role of GenAI in DH scholarship. While scholars acknowledge the benefits of GenAI in enhancing research efficiency and enabling reskilling, many remain concerned about its potential to disrupt their intellectual identities. Situated within the history of DH and viewed through the lens of Actor-Network Theory, our findings suggest that the adoption of GenAI is gradually changing the field, though this transformation remains contested, shaped by ongoing negotiations among multiple human and non-human actors. Our study is one of the first empirical analyses on this topic and has the potential to serve as a building block for future inquiries into the impact of GenAI on DH scholarship.

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数字人文 生成式人工智能 学术研究 应用分析 Actor-Network Theory
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