Question: Give a brief explanation of how machine learning/AI is being applied in, and influencing, library/information services.

Expert answer

Since the advent of the computer, the library and information services sector has experienced a wave of transformation; from the implementation of digital catalogues to automated circulation systems. This wave of transformation has only been amplified with the introduction of Artificial Intelligence (AI) and Machine Learning (ML). In recent times, AI and ML have been leveraged to improve the efficiency and accuracy of library and information services.

At its core, AI is an umbrella term that refers to applications that are capable of performing tasks that require intelligence. This includes functions such as problem solving and decision making. ML is a subset of AI and refers to techniques that enable computers to learn and improve from experience without being explicitly programmed. ML is based on algorithms and statistical models that can be used to analyse large amounts of data.

The application of AI and ML in library and information services can be broken down into two main categories: improving library services and creating new services. The first area focuses on leveraging AI and ML to improve existing library services such as search, recommendation, and content curation.

For example, AI-powered search engines can provide more accurate and relevant results for users. AI-powered search engines utilize natural language processing (NLP) and ML algorithms to improve the user experience. NLP algorithms can be used to understand user intent and provide more relevant results based on the query. ML algorithms can be used to learn user behaviour and continuously improve the accuracy of the search results.

The second area of application focuses on the creation of new services and products. AI and ML can be used to generate insights that can be used to shape library services in the future. For example, AI-powered sentiment analysis can be used to analyse user reviews and feedback to determine the effectiveness of library services. ML algorithms can be used to recommend books and resources to users based on their interests and preferences.

In addition to improving library services and creating new services, AI and ML can be used to automate administrative tasks. AI and ML can be used to automate the cataloging and classification of library materials. Automating this process can save time and reduce errors. AI and ML can also be used to automate the circulation process, allowing librarians to focus on more complex tasks.

AI and ML can also be used to improve the security of library materials. AI-powered facial recognition systems can be used to restrict access to certain materials or areas of the library. AI-powered security systems can also be used to detect and prevent theft or vandalism.

Finally, AI and ML can be used to create virtual libraries, allowing users to access library materials remotely. AI-powered chatbots can be used to provide users with information and support. ML algorithms can be used to recommend library materials based on the user’s interests and preferences.

In conclusion, AI and ML are transforming the way libraries and information services are delivered. AI and ML can be used to improve existing services, create new services, automate administrative tasks, and improve security. AI and ML are also being used to create virtual libraries, allowing users to access library materials from anywhere in the world. AI and ML have the potential to revolutionize the library and information services sector, and librarians must be prepared to embrace these new technologies.