The digital transformation is turning archives, both old and new, into data. As a consequence, automation in the form of artificial intelligence techniques is increasingly applied both to scale traditional recordkeeping activities, and to experiment with novel ways to capture, organise and access records. We survey recent developments at the intersection of Artificial Intelligence and archival thinking and practice. Our overview of this growing body of literature is organised through the lenses of the Records Continuum model. We find four broad themes in the literature on archives and artificial intelligence: theoretical and professional considerations, the automation of recordkeeping processes, organising and accessing archives, and novel forms of digital archives. We conclude by underlining emerging trends and directions for future work, which include the application of recordkeeping principles to the very data and processes which power modern artificial intelligence, and a more structural, yet critically-aware, integration of artificial intelligence into archival systems and practice.

中文翻译：

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档案馆和AI：当前争论和未来展望概述

数字化转型正在将旧的和新的档案转换成数据。结果，越来越多地采用人工智能技术形式的自动化来扩展传统的记录保存活动，并尝试以新颖的方式来捕获，组织和访问记录。我们在人工智能与档案思维和实践的交汇处调查了最近的发展。我们通过唱片连续性模型的镜头来组织对这一不断增长的文学作品的概述。我们在文献中发现了有关档案和人工智能的四个广泛主题：理论和专业考虑，记录保存过程的自动化，档案的组织和访问以及数字档案的新颖形式。最后，我们着重强调了新兴趋势和未来工作的方向，