Inline & Contextual Notices

AI Limitations Notice

Set realistic expectations about accuracy and scope.

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Below inputBelow output card

Problem

Set realistic expectations about accuracy and scope. This pattern helps address:

users may over-rely on outputs

When to use

Consistently across AI surfaces

When not to use

As a substitute for feature-specific disclosures

Do

Be specific: what AI can and cannot do here

Don't

Use generic 'AI can make mistakes' and nothing else

Example copy

short

AI can make mistakes.

contextual

AI answers may be inaccurate. Verify important information.

detailed

This AI feature is trained on general data and may be inaccurate, out of date, or miss context. Verify important information from an authoritative source.

Implementation checklist

Standardise wording across surfaces

Accessibility notes

Visible text, adequate contrast

Related patterns

Output-Level Disclosures

Output-Level AI Disclosure

Entry-Point Notices

First Interaction AI Notice

This tool provides product and UX guidance for AI disclosure patterns. It does not provide legal advice and does not determine legal compliance. Please consult qualified legal counsel for binding assessments.