Ethical Use of Artificial Intelligence in Library

Abstract

Libraries have evolved from traditional repositories of knowledge to dynamic hubs of digital information, embracing artificial intelligence (AI) to enhance user experiences. This review explores the multifaceted role of AI in libraries, focusing on key areas such as information discovery, transparency, accountability, privacy, data protection, intellectual freedom, human AI collaboration, inclusivity, and accessibility. AI algorithms enable personalized recommendations, leveraging users' preferences and reading histories to suggest relevant resources and foster exploration. However, ensuring algorithmic transparency and accountability is crucial to maintaining user trust. Libraries must educate users about AI workings and mitigate biases in recommendations, promoting fairness and inclusivity across diverse user groups. Privacy and data protection are paramount, requiring robust security measures and compliance with regulations to safeguard user data. Libraries must balance AI-driven recommendations with intellectual freedom, avoiding censorship and promoting diverse viewpoints. Human-in-the-loop models empower librarians to refine AI recommendations, ensuring alignment with library values and user needs. Inclusivity and accessibility are core principles, with AI bridging gaps to provide equitable access to resources for all users. By navigating ethical considerations and prioritizing user centric AI systems, libraries can harness AI's potential to create inclusive, informed, and empowered communities.