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Showing users what the AI knows, doesn't know, and how confident it is.
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Basé sur la classification professionnelle SOC
Proactively identifying failure modes, misuse, and unintended consequences.
Managing shared context, memory, and state across multiple agents.
Coordinating text, image, voice, and tool-use modalities in a single interaction.
Helping users form warranted trust in the AI — neither overtrust nor undertrust — through deliberate confidence and source signalling.
Reading user emotional state from text signals — caps, punctuation density, repetition, latency — and adapting before the user disengages.
Designing review workflows to surface and mitigate bias in AI outputs.
| name | transparency-patterns |
| description | Showing users what the AI knows, doesn't know, and how confident it is. |
Transparency in AI products means making the system's knowledge, limitations, and confidence visible to users. It's how you build warranted trust — trust based on understanding, not blind faith.
Too much transparency overwhelms. Too little erodes trust. Calibrate by:
