AI Hallucinations Unmasked: Teaching Students to Detect Errors and Think Critically (Vendor Webinar)
February 13 @ 12:30 pm – 1:30 pm
Artificial intelligence is changing how accounting is taught, but the most effective instruction still depends on time-tested principles. In today’s AI world, students need accounting principles to separate sound answers from confident fiction. If students can’t explain AI output, they can’t verify it. We must help students move from “asking AI” to “checking AI.”
In this session, authors John J. Wild and Jonathan Wild share practical “AI Error Detection” activities that help students strengthen core skills while sharpening their skepticism and judgment. We will see real, introductory-level examples of where AI can go wrong, along with questions that help students catch errors. We will present scenarios where students can review AI responses against core concepts, including autograding options designed for principles-level and introductory financial and managerial accounting.
This approach shows how AI can be a helpful partner when it is used to reinforce, not replace, accounting knowledge. Attend to help students use AI thoughtfully and ethically while staying anchored in the essential principles of accounting. Walk away with plug-and-play materials we can assign immediately.
Special Note: This event is hosted by McGraw-Hill. However, you do not need to use the McGraw-Hill textbook and instead attend for exploration.
