Whether you think AI is awesome or awful, generative AI tools have arrived and are transforming our world. However, as we navigate the shift from the digital world to the AI world, the ability to understand, interact with, and critically analyze generative AI tools becomes crucial. As library workers, we must first cultivate AI literacy in ourselves in order to cultivate that literacy in our patrons and others. In this session, we will explore the design of generative AI tools, including LLMs and the impact of training data. We will discuss the outputs of generative AI, specifically looking at ChatGPT and image generators such as MidJourney for examples. Strategies for critical analysis of outputs will be shared, such as consideration of bias and machine hallucinations. We will also consider the ethics of generative AI, including claims of plagiarism and violation of intellectual property laws.
