Everyday AI Judgment at Work
Generative AI tools now sit inside email, documents, spreadsheets and code editors for most knowledge workers. The skill that separates safe, productive users from risky ones is not prompt craft — it is judgment: knowing when an output must be checked, what must never be pasted into a tool, which tasks AI fits and which it does not, and when to say that AI was used. This assessment presents 20 workplace situations in which a capable professional could reasonably go either way, plus select-all exercises, two evidence-reading items and a short self-check. Scoring is built around a Trust Calibration Index: every choice carries a hidden reliance weight, so the report shows not only how well you judged but whether you lean toward over-trusting AI (the Autopilot pattern) or under-using it (the Holdout pattern). The Calibration Dial report plots your position between the two poles, with a risk-hygiene scale for data and disclosure behaviour, and a practical plan for the two areas where your judgment is least settled.
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