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Path 01 • Module 05
Know the limits before you trust the output.
The fastest way to get hurt by AI is to confuse fluency with truth. This module is about judgment, verification, and good operating boundaries.
The major failure modes show up early.
- Hallucination: the model invents a detail, source, or conclusion.
- Bias: the system reproduces skewed patterns from its training or your prompt framing.
- Over-compression: nuance gets erased because the summary sounds “cleaner.”
- False confidence: uncertain material is delivered in polished language.
Use verification where the cost of error is non-trivial.
You do not need to distrust every output equally. You do need to route important work through stronger checks. Good operating hygiene means verifying facts, checking sensitive claims, and keeping a record of what the system was asked to do.
What should always trigger review
- Legal, financial, compliance, or safety-sensitive claims.
- External promises to customers or partners.
- Statistics, citations, or named examples you did not independently confirm.
- Any recommendation that carries cost or reputational downside.
Try it now
Ask an AI system for a confident answer on a topic where you already know the facts. Mark every place it overstates certainty, skips nuance, or implies more evidence than it has. This is the habit that saves you later.