WackyCoder Senior AI Lesson 39
AI systems can fail because of poor data, adversarial inputs, bad configuration, overconfidence, weak testing, or human overreliance. This lesson focuses on understanding failure rather than repeating dramatic claims without verification.
Class activity
Choose a reported AI failure. Ask what went wrong, which facts are verified, what safeguards were missing, and how the problem could have been prevented.
Key takeaway: AI is powerful but not infallible. Verify important claims and keep meaningful human oversight.
Recovered from the original WackyCoder Senior AI Lesson 39 archive.