A thread you can test
Trust and Defense
3 notes move from the word to a real choice at work — understand it first, then decide whether to use it.
Each note stands alone, or becomes the next step in this thread.
THE QUESTION THIS PAGE ANSWERS
ANSWER FIRSTWhat is Trust and Defense, and which AI decisions does it change?
Full trust pastes fabricated case law into court filings; no trust turns AI into a paperweight. Judge trust yourself across six scenarios; clickable citations, proxy confidence signals, and conditional warnings This page keeps the related concepts, common mistakes, and practical notes in one reading thread.
First decide whether you are blocked by a definition, a choice, or verification; then choose the closest of the 3 notes below.
Start with “Trust Calibration: The Best Users Are Half-Skeptical,” then restate the conclusion using your own task.
Do not treat every method in a topic as interchangeable. The answer changes with the input, risk, and acceptance bar.
THIS QUESTION THREAD
Put the word back inside the choice it changes.
Trust Calibration: The Best Users Are Half-Skeptical
Full trust pastes fabricated case law into court filings; no trust turns AI into a paperweight. Judge trust yourself across six scenarios; clickable citations, proxy confidence signals, and conditional warnings
Algorithm Aversion: One Mistake and the AI Gets Permanently Blocked
Dietvorst’s experiment: people abandon an algorithm after seeing it err once—even when it’s more accurate overall. Cast a vote to catch your own bias, then try the attribution translator and tweak-permission switch, and watch how four levers pull the abandonment-rate dial back
Defensiveness: Users Aren’t Unable — They’re Afraid to Use It
Data, competence, and responsibility defensiveness; sense of control, reversibility, and transparency as three levers; redesign three high-defensiveness designs yourself — watch for buried placebo traps; the hand-off-to-human button paradox