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<p>This paper explores the essential role of Artificial Intelligence (AI) competencies and literacy in the fields of records management and archival practices, within the framework of the InterPARES Trust AI project. As AI technologies advance, archival professionals must acquire specific skills and knowledge to effectively integrate these technologies into their workflows.&#xa0;The study employs two complementary approaches: (1)&#xa0;a detailed competency framework developed through literature reviews, interviews with archival professionals who have applied AI to the processing of records, and validation workshops with practitioners; and (2)&#xa0;a comprehensive AI literacy framework derived from multiple case studies and theoretical discussions. Our empirical approach to derive these AI competencies for the archival professions is novel in the scholarly literature.&#xa0;Findings indicate that archival professionals can leverage AI in their work practices by acquiring basic AI literacy, practical AI skills, data-related skills, tool-testing and evaluation, adaptation of AI to their workflows, and by actively engaging in collaborative projects with information technology (IT) developers. In addition, there are significant ethical concerns regarding algorithmic biases and data privacy that need to be addressed.&#xa0;We support an interdisciplinary approach that combines archival science, computing, and ethical considerations to develop trustworthy AI solutions. By integrating these fields, practitioners can better understand and manage the implications of AI in their work. Arguments are presented to use our AI literacy and competency framework as a general guide to be refined and situated by archival educators and practitioners for professional development in their own specific contexts.&#xa0;To stay current with technological advances and fully leverage the potential of AI, continuous updates and development of AI literacy among records management and archiving professionals are crucial. This study highlights the need for continued education and interdisciplinary collaboration to achieve these goals.</p>

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Building trustworthy AI solutions: integrating artificial intelligence literacy into records management and archival systems

  • 期刊论文

  • 发表日期：

    2025年2月5日

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  • Richard Arias Hernández,
  • Moisés Rockembach

摘要

This paper explores the essential role of Artificial Intelligence (AI) competencies and literacy in the fields of records management and archival practices, within the framework of the InterPARES Trust AI project. As AI technologies advance, archival professionals must acquire specific skills and knowledge to effectively integrate these technologies into their workflows. The study employs two complementary approaches: (1) a detailed competency framework developed through literature reviews, interviews with archival professionals who have applied AI to the processing of records, and validation workshops with practitioners; and (2) a comprehensive AI literacy framework derived from multiple case studies and theoretical discussions. Our empirical approach to derive these AI competencies for the archival professions is novel in the scholarly literature. Findings indicate that archival professionals can leverage AI in their work practices by acquiring basic AI literacy, practical AI skills, data-related skills, tool-testing and evaluation, adaptation of AI to their workflows, and by actively engaging in collaborative projects with information technology (IT) developers. In addition, there are significant ethical concerns regarding algorithmic biases and data privacy that need to be addressed. We support an interdisciplinary approach that combines archival science, computing, and ethical considerations to develop trustworthy AI solutions. By integrating these fields, practitioners can better understand and manage the implications of AI in their work. Arguments are presented to use our AI literacy and competency framework as a general guide to be refined and situated by archival educators and practitioners for professional development in their own specific contexts. To stay current with technological advances and fully leverage the potential of AI, continuous updates and development of AI literacy among records management and archiving professionals are crucial. This study highlights the need for continued education and interdisciplinary collaboration to achieve these goals.