Archives and AI: An Overview of Current Debates and Future Perspectives
Archives and AI: An Overview of Current Debates and Future Perspectives
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档案和人工智能：当前争论和未来展望的概述
DOI：
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发表时间：
2021
影响因子：
2.4
通讯作者：
J. Noordegraaf
中科院分区：
文献类型：
--
作者：
Giovanni Colavizza;Tobias Blanke;C. Jeurgens;J. Noordegraaf
数字化转型正在将新旧档案转变为数据。因此，人工智能技术形式的自动化越来越多地应用于扩展传统的记录保存活动，并尝试捕获、组织和访问记录的新方法。我们调查了人工智能与档案思维和实践交叉点的最新发展。我们对这一不断增长的文献的概述是通过记录连续体模型的视角来组织的。我们在有关档案和人工智能的文献中发现了四大主题：理论和专业考虑、记录保存流程的自动化、组织和访问档案以及数字档案的新颖形式。最后，我们强调了未来工作的新兴趋势和方向，其中包括将记录保存原则应用于为现代人工智能提供动力的数据和流程，以及将人工智能更加结构化（但具有批判性意识）集成到档案系统和实践中。
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 that power modern artificial intelligence and a more structural—yet critically aware—integration of artificial intelligence into archival systems and practice.
协商天生的数字化：搜索问题
影响因子：
0.3
作者：
Winters J
通讯作者：
Winters J
预测历史
影响因子：
29.9
作者：
Risi, Joseph;Sharma, Amit;Shah, Rohan;Connelly, Matthew;Watts, Duncan J.
通讯作者：
Watts, Duncan J.