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Facilitate
Measure
Create
Run & localize
Do more with ThinkPair
8 tracks
- AI Literacy
- Cybersecurity
- Banking & Compliance
- EV Safety
Facilitate
Measure
Create
Run & localize
Do more with ThinkPair
8 tracks
Keep a human in the loop on AI-assisted work — judging when to trust, validate, override, or escalate AI output, and owning the decision so the system supports you rather than quietly deciding for you.
An intermediate micro-course for anyone whose day now runs through AI tools, copilots, and agents — and who is increasingly tempted to rubber-stamp what they produce. Part of the AI Literacy Track, it builds directly on 'Prompting & Output Quality' by moving from getting good output to supervising it: you'll learn a validation reflex, the four override triggers, and how accountability really sits when an AI got it wrong. Engage surfaces your real habits, Share teaches the oversight model, Practice pressure-tests it on 2026 cases, and Perform proves it with a knowledge gate, a written defence, and a signed oversight commitment.
As AI gets more capable, the temptation is to check it less. Feel the cost of a confident wrong answer that nobody questioned, then place yourself honestly before the model arrives.
Trust is earned per decision, not granted to the tool. Learn the oversight model — meaningful review, the four override triggers, and the accountability that never transfers — and lock it into recall.
Apply the model under pressure: catch the override trigger in a confident agent recommendation, judge a green dashboard, order the validation sequence, and plan oversight for a real AI task of your own.
Prove it: pass the oversight knowledge gate, defend one real validation plan in writing against the model, and sign the oversight commitment that closes the course.
Book a demo and we'll run "Human-in-the-Loop: Overseeing & Validating AI" 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).