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Confidence indicators
Showing how sure the AI is to help users gauge reliability, and understand the basis of the output.
User benefits
- Acts as a visual reminder that not all AI output is accurate.
- Builds trust by making AI reasoning and evidence transparent.
- Encourages learning by revealing how information is sourced.
Examples from our library
Browse all examplesWhy does confidence indicators matter?
Confidence indicators helps users gauge how reliable AI-generated content is by revealing signals of certainty, evidence, or verification. While often overlooked, this pattern has been introduced in a lot of tools. It’s most critical in retrieval-heavy or high-stakes domains like research or law, where exposing sources and validation paths turns AI outputs
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Curated by aiverse team
Last updated on Oct 7, 2025
Published on Oct 7, 2025
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