Abstract
Artificial intelligence (AI) is increasingly being integrated into archival and records management practices, offering transformative potential while simultaneously raising complex challenges. This article explores the dual nature of AI as both a tool for managing archival tasks and a phenomenon that itself demands management. The discussion highlights how machine learning and natural language processing techniques are reshaping archival workflows—-from transcription and classification to appraisal and access control. However, the article argues that the most pressing issues are not technical but epistemological and ethical, centering on accountability, transparency, and trust. As AI systems operate in ways that defy traditional technological logic and human understanding, they challenge foundational archival principles. The article concludes that while AI offers significant opportunities, its deployment in archives must be critically managed to uphold the integrity and authenticity of records across the continuum of recordkeeping.
