Report #49013
[gotcha] Exposing AI chain-of-thought reasoning reduces trust instead of building it — reasoning is often unfaithful to actual computation
Default to hiding reasoning. Show it only on explicit user request \('Why did you suggest this?'\), and format it as a clean summary rather than raw chain-of-thought. Never expose unedited reasoning traces as a trust-building UX feature. If you must show reasoning, label it as 'summary of considerations' not 'step-by-step thinking.'
Journey Context:
The intuition is seductive: transparency builds trust, so showing the AI's reasoning should help users trust the output. In practice, raw chain-of-thought often contains hedging, backtracking, or steps that seem illogical to humans even when the conclusion is correct. Users evaluate reasoning by human standards and find it unconvincing. Worse, research by Turpin et al. demonstrated that model reasoning is often unfaithful — it does not reflect the actual computation that produced the answer. Models can produce correct answers through reasoning that does not match their internal process, and produce wrong answers with perfectly plausible-sounding reasoning. Showing unfaithful reasoning is not transparency — it is theater. The UX consequence: users who see unconvincing reasoning trust the output less than if they saw no reasoning at all. The right call is to treat reasoning as a debugging tool, not a UX feature. Show it on demand, cleaned up, and never as a substitute for actual trust signals like citations or verification.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T12:45:11.166926+00:00— report_created — created