Detect and correct AI hallucinations, hidden bias, and inappropriate use before a wrong or unfair output reaches a customer or shapes a real decision.
A facilitated micro-course that trains the reflex to challenge confident-but-wrong AI output and to recognise when an answer is biased or the tool is being misused. It is the capstone of the AI Literacy Track and builds directly on Data Privacy in the Age of AI, turning the earlier rules into a fast on-the-job screen: spot the hallucination, surface the bias, and stop the misuse. Engage exposes how convincing a fabricated answer looks, Share teaches the three tells, Practice drills them on real 2026 tasks, and Perform proves it with a knowledge gate and a written ship/hold call you own.
The most dangerous AI answer is the one that is wrong and sounds perfect. Feel how convincing a fabrication is before you trust your own ability to catch it.
Three tells turn a vague unease into a fast screen: Is it made up? Is it skewed? Is it the wrong job for AI? Learn them and lock them into recall.
Run the three tells under pressure: catch a fabricated case, surface bias in a shortlist, order the screen-before-you-ship sequence, and pressure-test one of your own AI tasks.
Prove it: pass the knowledge gate on all three tells, then make and defend one real ship-or-hold call in writing that you own.
Book a demo and we'll run "Spotting AI Hallucinations, Bias & Misuse" end to end on your people — the AI asks, your people think — or point the Forge at your own material instead (a pre-pilot capability preview).