No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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Designing AI Features People Trust

An AI feature people can trust shows where its answer came from, says when it is not sure, lets a person fix it before anything happens, and makes it easy to report a mistake. You will take apart one good screen, piece by piece.What makes staff trust an AI feature the right amount: showing sources (explainability), flagging uncertainty, keeping the person in control of every action, and collecting feedback. Plus the opposite failure: people who stop checking because it is usually right.Designing for appropriate reliance: provenance and citations, surfacing calibrated confidence per field, draft-first and reversible actions, lightweight feedback capture, and countering automation bias with targeted review and audits.

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A name and an email, once. The whole course is free, nothing is sold to you, and your place is kept so you can pick it up on your phone later.A name and an email, once. The course is free; the account exists so your progress and your level on the dial follow you between devices, and so you can be issued a certificate at the end.name + email. free. account carries completion state, data-level and certificate issuance.

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We store your name, your email, which lessons you open and which you finish, and the reading level you use. Distru can see that. Nothing is charged and nothing is sold on.Stored: name, email, which lessons you open and complete, and your level on the dial. Distru staff can see it. No payment, no third-party advertising trackers.stored: name, email, per-lesson view + completion, data-level. visible to Distru. no payment, no ad-tech, no third-party pixels.

Adapted from Microsoft's Generative AI for Beginners (Lesson 12: Designing UX for AI applications, Lesson 7: Building chat applications), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.