One of the best ways to learn the basics of AI for librarians or anyone else is to sign up for an online course in AI. There are two popular online courses that do not require any earlier knowledge about AI: Elements of AI created by the University of Helsinki and Reaktor, which is free, and AI for Everyone in Coursera, which you can enrol for free but you need to pay if you want to receive a certificate.
To learn about libraries and AI you can combine completing the Elements of AI course with library-related readings and further questions to consider. The suggested readings will be published below and they will be arranged according to the topics of the chapters in the Elements of AI online course.
See also the AI for librarians Zotero group for further reading.
The material is still a work in progress so some new links might appear, some things might disappear and it could also look a bit different!
Chapter 1: What is AI?
Chapter 2: AI Problem Solving (coming up)
Chapter 3: Real World AI (coming up)
Chapter 4: Machine Learning (coming up)
Chapter 5: Neural Networks (coming up)
Chapter 6: Implications (coming up)