This conceptual paper reinterprets S.R. Ranganathan’s five laws of library science in the context of artificial intelligence (AI), examining their continued relevance and adaptability in the digital age. By aligning AI capabilities with these foundational principles, this paper aims to explore how AI can enhance information access, optimize resource management and personalize library services while maintaining the ethical and philosophical core of Library and Information Science (LIS).
This study uses a conceptual analysis approach to critically examine AI applications in LIS, including automated cataloging, AI-driven search systems, personalized recommendations and intelligent chatbots. It also addresses ethical considerations such as algorithmic bias, data privacy and equitable access. This paper proposes an AI-enhanced reinterpretation of Ranganathan’s laws, offering a guiding framework for responsible AI adoption in libraries.
This study highlights the transformative potential of AI in libraries, demonstrating its ability to improve operational efficiency, user engagement and accessibility. However, it also emphasizes the necessity of aligning AI implementation with ethical principles to prevent biases and ensure inclusivity. By conceptualizing an AI-driven adaptation of Ranganathan’s laws, this paper provides a roadmap for integrating AI into library services without compromising their core values.
This research offers a novel perspective by reconceptualizing Ranganathan’s five laws in the era of AI, providing LIS professionals with a theoretical framework to guide AI integration. It contributes to the discourse on ethical and sustainable AI adoption in libraries, ensuring that technological advancements support rather than undermine traditional LIS principles.
