AI-driven solutions for personalized knowledge dissemination and inclusive library user experiences
Open accessAbstract
Artificial Intelligence (AI) is revolutionizing the way libraries deliver knowledge, enabling personalized dissemination and fostering inclusive user experiences. This review explores AI-driven solutions designed to address the diverse needs of library users, ensuring equitable access to information and resources. By leveraging AI technologies such as machine learning (ML), natural language processing (NLP), and recommender systems, libraries can transform user engagement and knowledge delivery. Machine learning models analyze user behavior and preferences, enabling libraries to provide tailored resource recommendations that enhance discovery and satisfaction. NLP facilitates semantic search capabilities, automated summarization, and real-time translation, ensuring that language barriers and information overload are minimized. Recommender systems further personalize user interactions by suggesting relevant resources based on collaborative and content-based filtering techniques. AI-powered chatbots and virtual assistants play a pivotal role in providing real-time support, streamlining inquiries, and ensuring accessibility for users with disabilities. These tools, coupled with assistive technologies like speech-to-text and screen readers, enhance inclusivity for visually and hearing-impaired individuals. Furthermore, AI-driven solutions extend the reach of library services to underserved communities by overcoming geographical, linguistic, and cultural barriers. This highlights…
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In academic libraries, LLMs can enhance virtual and digital reference services, automate content summarization, and support interactive learning.
“In academic libraries these models can enhance virtual and digital reference services, automate content summarization, and support interactive learning (Ikwuanusi et al., 2023;Saeidnia, 2023;Soto et al., 2024).”
From Using Agentic <scp>AI</scp> to Enhance the Quality of Academic Libraries’ Responses for Student Queries (2025) · cites this paper as Ikwuanusi et al., 2023
The role of AI tools and smart technologies in academic libraries is to ensure that accessibility of resources is not restricted to individuals' abilities or disabilities, but rather designed to be inclusive and universal to allow equal access and participation.
“Thus, the role of AI tools and smart technologies in academic libraries is to ensure that accessibility of resources is not restricted to individuals' abilities or disabilities, but rather designed to be inclusive and universal to allow equal access and participation”
From A meta-analysis of artificial intelligence tools and smart technologies in academic libraries for disadvantaged user group (2025) · cites this paper as Ikwuanusi et al., 2023
Challenges such as data protection and privacy are notable concerns that could possibly hinder the seamless integration of artificial intelligence technologies in academic libraries.
“Artificial intelligence-based tools rely on the generation of large data sets; as such, the findings of this systematic review of literature established that challenges such as data protection and privacy are some of the notable concerns that could possibly hinder the seamless integration of artificial intelligence technologies in academic libraries (Ikwuanusi et al., 2023).”
From A meta-analysis of artificial intelligence tools and smart technologies in academic libraries for disadvantaged user group (2025) · cites this paper as Ikwuanusi et al., 2023
Seamless deployment of AI-based tools and smart technologies in academic libraries is hindered by an array of complex challenges that require careful consideration in the early planning stages of the AI integration process.
“Ikwuanusi et al. (2023) argued that the seamless deployment of AI-based tools and smart technologies in academic libraries is hindered by an array of complex challenges that require careful consideration in the early planning stages of the AI integration process.”
From A meta-analysis of artificial intelligence tools and smart technologies in academic libraries for disadvantaged user group (2025) · cites this paper as Ikwuanusi et al. (2023)
Cited by
Sorted by citations
Wang, N., & Chou, Y. (2025) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1518 · Cited by 4 · see citing works
Khumalo, A., Rajkoomar, M., & Naicker, N. (2025) · Journal of Electronic Resources Librarianship · doi:10.1080/1941126x.2025.2581383 · Cited by 1 · see citing works
- Authors
- Ikwuanusi, U. F., Adepoju, P. A., & Odionu, C. S.
- Venue
- International Journal of Engineering Research Updates
- Publisher
- Orion Scholar Journals Publication
- Published
- 2023-06-30
- Volume
- 4
- Issue
- 2
- Pages
- 052-062
- ISSN
- 2783-0187 (ISSN-L)
- OpenAlex
- W4405686364
- Cited by
- 19
- References
- 0
- Citations by year
- 2026: 10 · 2025: 9
- FWCI
- 4.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Engineering Research Updates (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Web and Library Services
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Social Sciences › Library and Information Sciences › Library Science and Administration
- Keywords
- artificial intelligence in libraries, inclusive library services, recommender systems, semantic search, natural language processing, assistive technology, accessibility for people with disabilities, equitable access to information, underserved populations, data privacy, algorithmic bias, ethical AI, open-source AI tools, cross-institutional collaboration, academic libraries, public libraries
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