University of Michigan Workshop Addresses Generative AI Mistakes, Emphasizing Critical Evaluation
The University of Michigan Library is hosting a workshop titled 'When AI Gets It Wrong: Learning Generative AI Through Its Mistakes.' Led by Kwok-leong Tang, managing director of the Digital China Initiative and a lecturer at Harvard University, the workshop focuses on understanding why generative AI tools make errors, particularly with historical East Asian sources. The goal is to equip participants with the knowledge to discern when to trust AI outputs and when to be skeptical. The hands-on session will involve running a small AI model on laptops to observe how it processes text, chooses words, and can confidently produce incorrect information. Participants will learn to differentiate between errors caused by the model's limitations and those resulting from insufficient input, and practice methods for testing AI answers against reliable sources.
