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Embedding Artificial Intelligence into Archival Data Governance: Opportunities, Challenges, and the Chinese Experience
Abstract
Archival data governance stands at a pivotal crossroads, where technological advancements intertwine with the complexities of societal values and institutional frameworks. This study delves into the integration of AI into archival data governance, with a focus on the Chinese context. While AI unlocks opportunities for enhancing the value and utility of archival data, optimizing management workflows, and reimagining service paradigms, it simultaneously raises issues such as trust deficits, ethical dilemmas, and the erosion of human subjectivity. Against this backdrop, this chapter examines the tensions between technological innovation and institutional lag, proposing strategies to fortify data quality, align governance practices with ethical imperatives, and foster collaborative governance across diverse stakeholders. By situating archival data governance within the broader spectrum of national modernization and intelligent governance, this chapter illuminates a pathway for harmonizing technological potential with the enduring principles of trust, equity, and human-centered development.
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