Skyline University Nigeria

Integration of AI Into Library Services


Various elements of library services, including cataloging, classification, recommendation, reference, discovery, and preservation, can benefit from the use of Artificial Intelligence. AI, for instance, can assist librarians in automating the development and extraction of metadata, improving the standard and consistency of bibliographic records, and spotting and fixing errors and inconsistencies. On the basis of their interests, behavior, and context, AI can assist librarians in making individualized and pertinent recommendations to their clients.

Using natural language processing and semantic analysis, AI can help librarians answer difficult and varied requests. Additionally, utilizing data mining and machine learning, AI can assist librarians in identifying fresh and developing subjects, fads, and patterns in the information landscape. Additionally, by employing optical character recognition and picture recognition, AI can assist librarians in digitizing and preserving their holdings.


The integration of AI into library services involves using AI technologies to enhance the delivery of library services to patrons. Here are some ways that libraries are integrating AI into their services:

  1. Reference and research services: AI-powered chatbots and virtual assistants can help patrons get quick answers to their reference and research questions, freeing up librarians to focus on more complex queries. AI can also be used to help patrons discover new resources, such as by recommending articles and books based on their interests.
  2. Reader’s advisory services: AI can be used to create personalized reading lists for patrons based on their reading history and preferences. This can help patrons discover new authors and genres and can increase their engagement with the library.
  3. Collection management: AI-powered data analytics can help librarians make data-driven decisions about which resources to acquire and how to allocate resources. AI can also be used to monitor the condition of library materials, such as by detecting damage or signs of wear and tear.
  4. Accessibility services: AI can be used to improve the accessibility of library resources, such as by generating closed captions for videos or creating descriptive metadata for images. This can help make library resources more accessible to patrons with disabilities.
  5. Outreach and marketing: AI can be used to analyze social media and online conversations to identify potential patrons and to develop targeted marketing campaigns. AI can also be used to analyze patron usage patterns to identify areas where outreach efforts may be needed.


The integration of AI into library services has the potential to improve the quality and accessibility of library services, while also increasing patron engagement and satisfaction. However, it is important for libraries to carefully consider the ethical and privacy implications of using AI and ensure that these technologies are used responsibly and transparently.

You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria