LESSON 6

AI Limitations

Learning objective: Recognize what AI cannot reliably do.

Understand

AI is powerful but far from perfect.

AI can hallucinate (state false things confidently), reflect bias from its training data, and lacks real understanding. Always verify important facts and never rely on AI alone for critical decisions.

Analogy: Trusting AI blindly is like believing a confident stranger without checking the facts.

See It in Action

Common failure modes:

- confident but wrong answers
- outdated information
- hidden bias
How it works: Knowing these limits tells you when to double-check AI output against a reliable source.

Try It Yourself

  1. Ask an AI a factual question and verify the answer.
  2. Spot one detail it got wrong or outdated.
  3. Note when you would not rely on AI.

Quick Quiz

What does it mean when AI 'hallucinates'?

Challenge

Find one example of an AI mistake and explain how you would verify such claims.

Success condition: You can name AI limitations and how to check its output.