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Confidence / uncertainty display vs Source grounding display vs Citation display vs Meter vs Warning text

Use confidence / uncertainty display for prediction reliability and calibrated confidence before users act; source grounding display for source coverage; citation display for claim-level evidence; meter for a bounded scalar gauge; and warning text for severe consequence wording before an action.

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Match the interaction to the person's task

Use confidence / uncertainty display for prediction reliability and calibrated confidence before users act; source grounding display for source coverage; citation display for claim-level evidence; meter for a bounded scalar gauge; and warning text for severe consequence wording before an action.

Confidence / uncertainty display

Use it when: Users must judge whether an AI prediction, classification, recommendation, extraction, risk score, or generated answer is reliable enough to use.

Make this state clear: High confidence state with calibration scope, reason, and whether direct apply is allowed.

Observe the result: A reviewer sees low confidence and out-of-distribution input, opens the reason panel, collects the missing invoice, and avoids auto-denying the claim.

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Source grounding display

Use it when: Users need answer-wide evidence coverage before trusting generated content.

Make this state clear: Default grounded state with source scope, searched sources, retrieved sources, used sources, and supported-claim count.

Observe the result: The person reaches a clear outcome.

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Citation display

Use it when: Users need to verify generated claims, summaries, recommendations, or extracted facts against source material.

Make this state clear: Default answer with cited claims and inline citation markers.

Observe the result: A user checks a claim, opens its source preview, compares the quoted excerpt with the answer text, and copies the citation with the source title included.

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Meter

Use it when: A current value exists inside a meaningful known range.

Make this state clear: Normal state inside the acceptable band.

Observe the result: A user sees storage at 86 of 100 GB, understands the account is in the critical band, opens Manage storage, and deletes old exports before uploads are blocked.

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Warning text

Use it when: A user must understand a serious consequence before taking or skipping an action.

Make this state clear: Before-action warning state placed immediately before the related control or declaration.

Observe the result: Users see the fine or eligibility consequence before checking the declaration and can pause to verify their answer.

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Practice the judgment: Imagine this situation: A fake percent is shown for an uncalibrated model score. Write the person's goal, choose one of these patterns, and show the state that helps the person continue. Use the decision rules and source trail below to explain your choice.

Review the underlying principle →

Decision dimensions

Dimension Confidence / uncertainty displaySource grounding displayCitation displayMeterWarning text
UI or UX UI + UX - Calibrated reliability and uncertainty display for AI or automated predictions before user actionUI + UX - Whole-answer source coverage and grounding evidence displayUI + UX - Inline claim-to-source evidence display for generated or summarized contentUI + UX - Read-only scalar value gauge within a known rangeUI + UX - Severe-consequence warning copy before an action
UI guidance Render confidence and uncertainty as labelled reliability information with confidence band, reason, input scope, calibration status, review threshold, freshness, and the next safe action.Render source grounding as an answer-wide evidence panel that separates source scope, searched sources, retrieved sources, used sources, supported claims, partially supported claims, unsupported claims, and unresolved source states.Render citation markers beside the claims they support, and connect each marker to a selected source preview with title, source type, excerpt, date or version, permission state, and open source action.Use native meter semantics or equivalent read-only meter attributes, and pair color bands with text such as Healthy, Warning, Critical, Low, Normal, High, or Over limit.Render warning text as a short high-emphasis statement with a warning icon, visible or hidden warning label, and explicit consequence copy placed before the relevant action, declaration, or instruction.
UX guidance Use confidence / uncertainty display when users need to decide whether an AI prediction, classification, recommendation, extraction, risk assessment, or generated answer is reliable enough to apply.Let users inspect coverage gaps, source scope, retrieval status, and unsupported claims before they copy, publish, apply, or rely on the answer.Keep the claim-to-source mapping durable through streaming, regeneration, copying, mobile layout changes, and permission checks so users can tell what evidence applies to which claim.Explain whether higher, lower, or middle values are better, what threshold the current value crosses, and what action is available when the meter enters a warning or critical range.Use warning text when users must understand a serious consequence before acting or failing to act, such as a fine, loss of access, permanent deletion, eligibility impact, or legal responsibility.
Good UI A claim classifier says Medium confidence, 71 to 78 percent calibrated range, review threshold 80 percent, conflicting account-age signal, and routes the case to manual review.A policy answer includes a Grounding panel showing 4 sources searched, 3 retrieved, 2 used, 5 supported claims, 1 partially supported claim, and 1 unsupported claim with a Review action.A policy assistant places numbered citation chips after each sourced claim; selecting a chip opens a source preview with the document title, section, quoted excerpt, updated date, and Open source action.An account storage card says 86 GB of 100 GB used, marks 70 GB as warning and 90 GB as critical, and labels the current state Critical.Before Submit declaration, a warning with an exclamation icon says the user may be fined if they provide false information.
Bad UI Users over-trust an AI answer because a confidence badge looks authoritative.The answer shows a green Grounded badge even though only one citation supports one paragraph.A citation appears verified while retrieval is still pending.A progress bar for uploading evidence.zip is implemented as a meter, so task completion and capacity status are confused.A red sentence says Important below the submit button after the user has already acted.
Good UX A reviewer sees low confidence and out-of-distribution input, opens the reason panel, collects the missing invoice, and avoids auto-denying the claim.The person reaches the intended result with clear feedback.A user checks a claim, opens its source preview, compares the quoted excerpt with the answer text, and copies the citation with the source title included.A user sees storage at 86 of 100 GB, understands the account is in the critical band, opens Manage storage, and deletes old exports before uploads are blocked.Users see the fine or eligibility consequence before checking the declaration and can pause to verify their answer.
Bad UX A model update invalidates old confidence scores but the UI keeps showing them as current.Grounded status is shown before retrieval finishes.A user trusts a generated compliance claim because it has a number beside it, but the number points to an unrelated source.Users mistake quota level for upload completion because the meter animates like progress.Users incur a penalty because the warning looked like ordinary hint text.
Best fit Users must judge whether an AI prediction, classification, recommendation, extraction, risk score, or generated answer is reliable enough to use.Users need answer-wide evidence coverage before trusting generated content.Users need to verify generated claims, summaries, recommendations, or extracted facts against source material.A current value exists inside a meaningful known range.A user must understand a serious consequence before taking or skipping an action.
Avoid when Users only need source coverage or claim evidence, which belongs to source grounding display or citation display.The only task is opening one claim's source preview, which belongs to citation display.Links are simply optional onward reading rather than evidence for the answer.The value represents task completion or loading progress.The message is a dynamic task status that must be announced when it appears.
Required state High confidence state with calibration scope, reason, and whether direct apply is allowed.Default grounded state with source scope, searched sources, retrieved sources, used sources, and supported-claim count.Default answer with cited claims and inline citation markers.Normal state inside the acceptable band.Before-action warning state placed immediately before the related control or declaration.
Accessibility burden Expose confidence label, uncertainty reason, threshold, freshness, and gated action as text rather than relying on color, position, or animation alone.Expose grounding summary, source scope, status counts, unsupported claims, and source groups as text.Give citation markers accessible names that include their selected state and source status, such as Citation 2, verified source, or Citation pending.Prefer the native meter element where possible because it carries the correct read-only meter semantics.Keep the warning in reading order before the control, declaration, or instruction it qualifies.
Common misuse Showing a fake percent or exact decimal for an uncalibrated model score.Showing a global Grounded badge when only some claims have evidence.Displaying a link dump below the answer instead of mapping sources to specific claims.Using a meter to show task progress such as upload completion.Using warning text for routine hints, explanations, or mild reminders.

Confidence / uncertainty display

UI or UX
UI + UX - Calibrated reliability and uncertainty display for AI or automated predictions before user action
UI guidance
Render confidence and uncertainty as labelled reliability information with confidence band, reason, input scope, calibration status, review threshold, freshness, and the next safe action.
UX guidance
Use confidence / uncertainty display when users need to decide whether an AI prediction, classification, recommendation, extraction, risk assessment, or generated answer is reliable enough to apply.
Good UI
A claim classifier says Medium confidence, 71 to 78 percent calibrated range, review threshold 80 percent, conflicting account-age signal, and routes the case to manual review.
Bad UI
Users over-trust an AI answer because a confidence badge looks authoritative.
Good UX
A reviewer sees low confidence and out-of-distribution input, opens the reason panel, collects the missing invoice, and avoids auto-denying the claim.
Bad UX
A model update invalidates old confidence scores but the UI keeps showing them as current.
Best fit
Users must judge whether an AI prediction, classification, recommendation, extraction, risk score, or generated answer is reliable enough to use.
Avoid when
Users only need source coverage or claim evidence, which belongs to source grounding display or citation display.
Required state
High confidence state with calibration scope, reason, and whether direct apply is allowed.
Accessibility burden
Expose confidence label, uncertainty reason, threshold, freshness, and gated action as text rather than relying on color, position, or animation alone.
Common misuse
Showing a fake percent or exact decimal for an uncalibrated model score.

Source grounding display

UI or UX
UI + UX - Whole-answer source coverage and grounding evidence display
UI guidance
Render source grounding as an answer-wide evidence panel that separates source scope, searched sources, retrieved sources, used sources, supported claims, partially supported claims, unsupported claims, and unresolved source states.
UX guidance
Let users inspect coverage gaps, source scope, retrieval status, and unsupported claims before they copy, publish, apply, or rely on the answer.
Good UI
A policy answer includes a Grounding panel showing 4 sources searched, 3 retrieved, 2 used, 5 supported claims, 1 partially supported claim, and 1 unsupported claim with a Review action.
Bad UI
The answer shows a green Grounded badge even though only one citation supports one paragraph.
Good UX
The person reaches the intended result with clear feedback.
Bad UX
Grounded status is shown before retrieval finishes.
Best fit
Users need answer-wide evidence coverage before trusting generated content.
Avoid when
The only task is opening one claim's source preview, which belongs to citation display.
Required state
Default grounded state with source scope, searched sources, retrieved sources, used sources, and supported-claim count.
Accessibility burden
Expose grounding summary, source scope, status counts, unsupported claims, and source groups as text.
Common misuse
Showing a global Grounded badge when only some claims have evidence.

Citation display

UI or UX
UI + UX - Inline claim-to-source evidence display for generated or summarized content
UI guidance
Render citation markers beside the claims they support, and connect each marker to a selected source preview with title, source type, excerpt, date or version, permission state, and open source action.
UX guidance
Keep the claim-to-source mapping durable through streaming, regeneration, copying, mobile layout changes, and permission checks so users can tell what evidence applies to which claim.
Good UI
A policy assistant places numbered citation chips after each sourced claim; selecting a chip opens a source preview with the document title, section, quoted excerpt, updated date, and Open source action.
Bad UI
A citation appears verified while retrieval is still pending.
Good UX
A user checks a claim, opens its source preview, compares the quoted excerpt with the answer text, and copies the citation with the source title included.
Bad UX
A user trusts a generated compliance claim because it has a number beside it, but the number points to an unrelated source.
Best fit
Users need to verify generated claims, summaries, recommendations, or extracted facts against source material.
Avoid when
Links are simply optional onward reading rather than evidence for the answer.
Required state
Default answer with cited claims and inline citation markers.
Accessibility burden
Give citation markers accessible names that include their selected state and source status, such as Citation 2, verified source, or Citation pending.
Common misuse
Displaying a link dump below the answer instead of mapping sources to specific claims.

Meter

UI or UX
UI + UX - Read-only scalar value gauge within a known range
UI guidance
Use native meter semantics or equivalent read-only meter attributes, and pair color bands with text such as Healthy, Warning, Critical, Low, Normal, High, or Over limit.
UX guidance
Explain whether higher, lower, or middle values are better, what threshold the current value crosses, and what action is available when the meter enters a warning or critical range.
Good UI
An account storage card says 86 GB of 100 GB used, marks 70 GB as warning and 90 GB as critical, and labels the current state Critical.
Bad UI
A progress bar for uploading evidence.zip is implemented as a meter, so task completion and capacity status are confused.
Good UX
A user sees storage at 86 of 100 GB, understands the account is in the critical band, opens Manage storage, and deletes old exports before uploads are blocked.
Bad UX
Users mistake quota level for upload completion because the meter animates like progress.
Best fit
A current value exists inside a meaningful known range.
Avoid when
The value represents task completion or loading progress.
Required state
Normal state inside the acceptable band.
Accessibility burden
Prefer the native meter element where possible because it carries the correct read-only meter semantics.
Common misuse
Using a meter to show task progress such as upload completion.

Warning text

UI or UX
UI + UX - Severe-consequence warning copy before an action
UI guidance
Render warning text as a short high-emphasis statement with a warning icon, visible or hidden warning label, and explicit consequence copy placed before the relevant action, declaration, or instruction.
UX guidance
Use warning text when users must understand a serious consequence before acting or failing to act, such as a fine, loss of access, permanent deletion, eligibility impact, or legal responsibility.
Good UI
Before Submit declaration, a warning with an exclamation icon says the user may be fined if they provide false information.
Bad UI
A red sentence says Important below the submit button after the user has already acted.
Good UX
Users see the fine or eligibility consequence before checking the declaration and can pause to verify their answer.
Bad UX
Users incur a penalty because the warning looked like ordinary hint text.
Best fit
A user must understand a serious consequence before taking or skipping an action.
Avoid when
The message is a dynamic task status that must be announced when it appears.
Required state
Before-action warning state placed immediately before the related control or declaration.
Accessibility burden
Keep the warning in reading order before the control, declaration, or instruction it qualifies.
Common misuse
Using warning text for routine hints, explanations, or mild reminders.
Decision rules
  • Choose confidence / uncertainty display when users need prediction reliability, calibrated confidence, uncertainty label, review threshold, and action gating for an AI or automated assessment.
  • Choose source grounding display when the question is source coverage, retrieved material, used evidence, unsupported claims, or corpus scope rather than model reliability.
  • Choose citation display when users need claim-level evidence, a selected source preview, and an open-source path for one claim.
  • Choose meter when the surface shows a read-only bounded scalar gauge such as storage, quota, battery, utilization, or risk level, not an AI reliability judgment with calibration caveats.
  • Choose warning text when users need severe consequence warning copy before an action, not a probability, confidence band, or uncertainty reason.
  • Confidence / uncertainty display must state high confidence, low confidence, insufficient evidence, conflicting signals, out-of-distribution, stale model, calibration unavailable, and apply gated states separately when those states can occur.
  • Use numbers only when the score is calibrated and explain the review threshold, last calibration window, and consequence of acting below the threshold.
  • Do not present confidence as proof; not source proof means source coverage, claim evidence, model reliability, and severe consequence warnings remain separate concerns.
  • If confidence falls below the review threshold, route to review, source grounding, escalation, manual verification, or ordinary fallback instead of letting a risky action continue silently.
  • When uncertainty changes after model, source, input, threshold, or data freshness changes, invalidate the displayed state before users apply or export the result.
Inspect live examples
Failure modes
  • A fake percent is shown for an uncalibrated model score.
  • A color-only confidence badge hides the uncertainty label from assistive technology and color-blind users.
  • A high-confidence label is treated as source proof even though source coverage and citations are absent.
  • The review threshold changed but an old confidence state still allows apply.
  • Low confidence, insufficient evidence, conflicting signals, or out-of-distribution input is buried below the action controls.
  • Warning text is used for routine uncertainty even though users need model reliability, reason, and next action.

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