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Introduction: Reframing Ethical AI Through Records and Information Management As artificial intelligence (AI) technologies have proliferated across both the public and private sectors, ethical governance has emerged as a central concern. Organisations and regulators scramble to develop responsible AI principles, accountability frameworks, and compliance protocols. However, many of these challenges are not new. Records and Information Management (RIM) professionals have long confronted the same ethical questions, now reframed through an AI lens, i.e. how to ensure data quality, maintain transparency, protect privacy, and uphold public trust. This article argues that ethical AI governance can and should draw from the established disciplines of RIM. Far from being sidelined, records professionals hold the key to managing risks and realising the benefits of AI. Many AI principles reflect longstanding archival values, and tools such as ontology, and metadata management, offer practical pathways to accountability, explainability, and compliance.