Lost in the algorithm: navigating the ethical maze of AI in libraries

Abstract

As libraries integrate artificial intelligence (AI), they face a complex ethical maze. This paper explores seven maze chambers in AI-powered libraries. "Data Bias and User Representation" examines how AI algorithms may perpetuate biases, leading to unfair recommendations and limited access for diverse users. "Privacy and Patron Confidentiality" highlights risks in collecting and analysing user data, stressing the importance of anonymising and user control. "Algorithmic Transparency and User Trust" explores strategies like Explainable AI (XAI) to help users understand and trust AI decision-making processes. "The Human Librarian in the Age of AI" addresses the evolving role of librarians, emphasising the need to balance AI efficiency with human expertise. "AI and Accessibility for Diverse Users" looks at how AI can improve accessibility for people with disabilities or language barriers, while also stressing the importance of mitigating biases to ensure inclusivity. "Ethical Procurement and Vendor Practices" and "Community Engagement and Open Dialogue" focus on responsible vendor selection and transparent communication with users. Acknowledging the pioneering efforts of the Bibliotheca Alexandrina, the paper calls for ongoing ethical considerations to ensure AI benefits all library patrons, fostering inclusive, user-centred institutions in the digital age.