Generative AI and libraries: 7 contexts

Nov 14, 2023 ·

Generative AI and Libraries: 7 Contexts is a comprehensive look at how generative artificial intelligence (AI) is being used in libraries. It provides a broad overview of the ways in which AI is being used to assist library patrons, including natural language processing; image recognition; voice assistants; reading recommendations; document analysis and retrieval; and metadata management. The article also outlines the challenges associated with implementing generative AI in the library context, such as data privacy, ethics, lack of human oversight, siloed datasets, and cost. Finally, it offers seven practical considerations to guide successful implementations of generative AI in the library space.

The article begins by discussing the potential applications of generative AI for libraries. Natural language processing can be used to improve customer service, allowing library patrons to search collections using natural language. Image recognition technologies can be used to help patrons locate materials more quickly. Voice-based virtual assistants can simplify the process of finding books and other resources. Metadata management can be improved through automated indexing and tagging of resources. Document analysis and retrieval can be enhanced by using AI to identify and locate specific documents within a collection. Finally, AI-based personalization algorithms can be used to provide tailored reading recommendations.

The article then reviews some of the key challenges associated with using generative AI in libraries. Data privacy remains a major concern, as does the lack of adequate oversight by humans. Furthermore, siloed datasets can make it difficult to access accurate information from multiple sources, increasing the risk of bias in the results. Finally, there are financial issues to consider when trying to implement generative AI in libraries, since the technology can be expensive.

Finally, the article provides seven practical considerations for successfully implementing generative AI in the library context. These include hiring librarians with expertise in AI, working closely with stakeholders, developing a clear governance strategy, and ensuring compliance with relevant laws, regulations, and best practices. Additionally, it suggests investing in robust metadata management systems, setting up infrastructure for analytics and machine learning, and providing proper training and support to library staff. Ultimately, by following these practical considerations, libraries can ensure that the implementation of generative AI is done in a responsible and effective manner.