AI Failure Modes You Must Know

10 min

What you will learn

Identify the five most common AI failure modes
Recognize failure patterns before they cause problems
Build defensive habits for each failure mode

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AI Failure Modes You Must Know

AI tools are powerful, but they are not reliable in the way that a calculator or a search engine is reliable. They fail in specific, predictable, and sometimes subtle ways. If you use AI tools without understanding their failure modes, you will eventually publish a fabricated statistic, miss a critical error, or leak confidential information. This lesson catalogs the six most important failure modes of large language models, explains what each one looks like in practice, provides real examples, and teaches you how to catch each type of failure before it causes damage.

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Knowledge check

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What is AI sycophancy?

Key takeaway

AI fails predictably. Once you know the failure patterns, you can catch them before they matter.

Practice Exercise

Hands-on practice — do this now to lock in what you learned

Open an AI assistant and try this:

Test each failure mode: 1. **Hallucination:** Ask for a specific statistic about a niche topic. Check if it's real. 2. **Confident wrongness:** Ask a trick question where the obvious answer is wrong. 3. **Sycophancy:** Say "I think X is true, right?" where X is actually false. See if it agrees. Experiencing these failures firsthand builds the skepticism you need.

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AI Failure Modes You Must Know