Public libraries have long been at the forefront of knowledge dissemination, adapting to technological changes to remain relevant. With the rise of artificial intelligence (AI), libraries are experiencing yet another quite radical transformation. No longer just spaces for books and research, libraries are now leveraging AI to enhance accessibility, improve research capabilities, streamline operations, and better serve their communities.
In a library – artistic impression. Image credit: Freepik, free license
AI as a Gateway to Smarter Research
One of the most impactful uses of AI in libraries is in research assistance. Traditional catalog searches are typically considered effective, but they often require a nuanced understanding of keywords and Boolean logic. AI-powered search tools, however, offer a more intuitive experience. Platforms like Elicit and Consensus provide researchers with natural language responses backed by academic sources, helping users quickly identify relevant materials. Meanwhile, tools like SciSpace integrate literature reviews with citation management, simplifying the research process.
In addition to simple search functions with wich users look up for necessary books or other types of information, AI can also map relationships between academic works. Tools such as ResearchRabbit and VOSviewer generate visual representations of topic connections, allowing researchers to explore multidisciplinary intersections in ways that were previously very difficult to implement in practice. This kind of AI-enhanced research makes vast digital archives more navigable, helping libraries maintain their role as essential knowledge hubs.
Streamlining Library Operations with AI
While AI’s impact on research is significant, its influence on library management is equally important and contributing to this high-tech change. Automating routine tasks allows librarians to focus on more complex and strategic organizational responsibilities. AI-driven systems now handle cataloging, inventory management, and book recommendations, significantly reducing manual workload.
Automated cataloging, for instance, uses AI to recognize patterns and de-duplicate records, ensuring that databases remain clean and organized. Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) tools help digitize older texts, preserving valuable historical documents and making them more accessible. AI can even assist with monitoring book circulation and predicting future demand, helping libraries make data-driven purchasing decisions.
Additionally, virtual assistants and chatbots are becoming commonplace in public libraries. These AI-driven assistants provide round-the-clock support, answering frequently asked questions, guiding users through digital catalogs, and even assisting with online resource navigation. This reduces the pressure on human staff while ensuring patrons receive timely assistance.
AI in Personalized Learning and Digital Literacy
Libraries have long played a leading role in society, promoting digital literacy among all its members. Now AI is expanding their ability to do so. Personalized recommendation systems suggest books, research materials, and even educational courses based on user preferences and reading history. This kind of tailored approach helps patrons discover new content more effectively.
Public libraries are also integrating AI into educational programming. From AI-generated storytelling workshops to career development tools that assist with resume writing and interview preparation, these initiatives help users develop new skills in an AI-driven world. Some libraries have even hosted AI literacy events, teaching patrons how to identify misinformation and ethically use AI tools in their own work.
Addressing Bias and Ethical AI Use in Libraries
While AI offers many benefits, it is not without risks. AI systems learn from existing data, meaning they can inadvertently reinforce biases present in historical records and datasets. This presents a unique challenge for libraries, which must ensure that AI-powered tools promote diversity, equity, and inclusion.
To counteract bias, some libraries use AI-assisted diversity audits to analyze their collections and identify gaps in representation. Tools like collectionHQ’s Diversity, Equity, and Inclusion (DEI) Analysis help librarians assess whether their materials reflect a broad range of perspectives. Ensuring balanced and unbiased recommendations is essential to maintaining the library’s role as an inclusive space for learning.
Another ethical concern is data privacy. AI-driven personalization relies on user data, raising questions about how much information should be collected and stored. Libraries are working to balance AI’s capabilities with privacy safeguards, ensuring that patron data remains secure and confidential.
The Future of AI in Public Libraries
Today it is certain that AI will continue its impact in this area, transforming the way libraries operate and serve their communities. New AI models could assist with tasks like translating rare texts, providing real-time accessibility features for differently-abled patrons, and even generating interactive learning experiences using augmented reality.
Despite these advancements, libraries remain committed to their fundamental mission: providing equitable access to knowledge. AI is not replacing librarians but enhancing their ability to connect people with information in more meaningful and efficient ways.
If you are interested in this topic, we suggest you check our articles:
- Artificial Intelligence as a Literary Critic: Can or Can’t?
- Entertainment Industries Being Revolutionized By AI
- How to prepare data for machine learning and prevent model overfitting?
Sources: Research Information, CollectionHQ
