Impact of Conversational and Generative AI Systems on Libraries: A Use Case Large Language Model (LLM)
Rahat Khan, Nidhi Gupta, Atasi Sinhababu, Rupak Chakravarty
Abstract
The study aims to examine how artificial intelligence (AI) could potentially affect specific services provided by academic libraries in the near future. To achieve this, the study uses three different Generative AI systems: ChatGPT, Perplexity, and iAsk.Ai. By analyzing the potential impact of AI on academic library services, the study aims to provide insights into how libraries can adapt to these changes to better serve their patrons. The three AI systems selected for this study represent different AI approaches that can be used in academic libraries. ChatGPT, for example, is a conversational AI system that can provide quick answers to patrons’ queries, while Perplexity is a language model that can assist with tasks such as cataloging and content classification. iAsk.Ai is a natural language processing (NLP) system that can assist with research and reference inquiries. By assessing the potential impact of these AI systems on academic library services, the study can provide insights into the future of library services and how AI could be used to enhance them. Ultimately, this could help academic libraries prepare for and adapt to the changing technological landscape, ensuring that they continue to meet the needs of their patrons in the years to come.