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.

翻译：因此,以人工智能技术为形式的自动化越来越多地被用于扩大传统记录保存活动的规模,并尝试获取、组织和查阅记录的新方式。我们调查在人工智能与档案思维和实践交汇处的最新发展情况。我们对这一不断增长的文献体系的概览是通过记录连续模型的透镜来组织的。我们发现关于档案和人工智能的文献有四个广泛的主题:理论和专业考虑、记录保存过程自动化、档案的组织和查阅以及新型的数字档案。我们最后强调未来工作的新趋势和方向,其中包括将记录保存原则应用于现代人工智能的原始数据和流程,以及将人工智能纳入档案系统和做法的更结构化、但又十分严格的认识。