AI Hallucination: How to Check a Wrong or Misleading Answer
AI hallucination explained: learn warning signs, verify sources, and check unreliable answers before they influence work, school, or important decisions.
Complete, reproducible examples of AI answers that were wrong, incomplete, misleading, or unexpectedly useful after checking. Full audit cards required.
AI hallucination explained: learn warning signs, verify sources, and check unreliable answers before they influence work, school, or important decisions.
I helped my nephew with a history assignment. The AI he'd used gave him three confident errors. Here's the audit card, and what I'm asking teachers and tutors to add.
I pasted a client document into an AI tool before realizing it contained personal data. Here's the audit card, the cleanup steps I took, and the checklist I wish I'd had.
I asked AI about a local fence permit. It gave a confident answer. The answer was wrong. Here's the full audit card and what I learned.
I audited 50 factual claims in an AI-written article. Fourteen were wrong or unsupported. Here's the full breakdown and what I'd consider an acceptable error rate.
An AI summary was factually correct but left out one caveat that changed the entire recommendation. Here's how I audit omission, and why "accurate" isn't the same as "complete."