Building ethical AI literacy in digital library practice

Abstract

The integration of artificial intelligence into digital library operations presents a fundamental challenge to the professional values of equity, privacy, intellectual freedom, and transparent stewardship that have long defined librarianship. This article argues that the development of ethical AI literacy is not an optional adjunct to digital library practice but a core professional competence essential for maintaining institutional trust and epistemic integrity in an algorithmic age. The discussion examines three critical domains where AI systems exert significant influence over library functions, namely discovery and retrieval systems that embed historical biases into ranking and recommendation algorithms, automated metadata generation tools that perpetuate and amplify colonial and exclusionary vocabularies, and user data collection practices that threaten the foundational library value of intellectual privacy. The article contends that ethical AI literacy requires digital librarians to move beyond superficial technical awareness toward a critical, sociotechnical understanding that encompasses algorithmic auditing, transparent provenance documentation, vendor negotiation, and privacy impact assessment. Furthermore, it positions the digital librarian as a critical mediator and educator who empowers users to navigate algorithmic environments with informed scepticism. The institutional implications of this framework are substantial, demanding curricular reform in library education, the creation of cross-functional ethics teams, shared professional frameworks for algorithmic impact assessment, and a culture of collective accountability. While acknowledging the considerable burdens that ethical AI literacy imposes on already overstretched professionals, the article maintains that this endeavour is both feasible and necessary, and that libraries have historically risen to comparable technological transformations by redefining professional roles and investing in collaborative capacity building. Ultimately, the article concludes that the cultivation of ethical AI literacy is the most urgent and meaningful work facing digital librarians today, as it determines whether libraries will remain trusted public institutions or become unwitting conduits of automated discrimination, epistemic distortion, and commercial surveillance in the decades ahead.