In recent years, artificial intelligence (AI) has emerged as a disruptive technology transforming key sectors, and libraries are no exception. This lecture addressed how AI is changing knowledge management in libraries and information centers. Below is a brief indicative summary:

  1. Technological disruption in libraries: From the emergence of the internet to search engines and natural language processing (NLP), libraries have experienced various technological disruptions. However, AI represents a turning point by automating complex tasks such as document classification and information retrieval, enabling users to access knowledge quickly and accurately.
  2. What can and cannot AI do?: Although much is often said about what AI cannot do, it is more useful to consider what it already can accomplish. From automated cataloging to personalized recommendation generation and demand forecasting, AI has proven to be a powerful tool in the library environment.
  3. Specific AI projects in libraries: The development of a custom AI system, specifically designed to be managed by librarians and information professionals, was mentioned; this allows complete control over data and the services provided to users. This approach ensures privacy protection and avoids dependence on third parties.
  4. Challenges and biases in AI: Not all aspects are advantages. Algorithmic bias and the potential delegation of critical thinking to AI are key concerns. Libraries, as guarantors of access to accurate information, have the responsibility to mitigate these risks through appropriate digital literacy initiatives for users.
  5. The Future of Libraries with AI: It is anticipated that libraries will not only continue adopting these technologies but also lead their development in the field of knowledge management. In the future, librarians will need to learn to master AI in order to integrate it appropriately into their services and offer increasingly sophisticated information products.

This conference invites reflection on how libraries can and should actively participate in developing AI solutions that address their specific needs, without losing sight of the inherent risks of this technology.