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Carbon for AI

AI design-system guidance for visually and behaviorally distinct AI instances, AI explainability, transparency, AI labels, and AI components.

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What this source can teach

Use this source to compare a documented solution with the task and states in your own product.

  1. Start with the original. Open the source and find the guidance or example relevant to your task.
  2. Trace the connection. Use the claim notes below to see how this site applies the source to specific patterns.
  3. Check the setting. Compare the source's platform, people, and constraints with your own decision.

Pattern Decisions This Source Supports

Pattern Supported decision Required contract Claim note
Confidence / uncertainty display Choose confidence / uncertainty display when users need to judge prediction reliability before acting on AI or automation output. The display names the task, prediction, source of the confidence estimate, calibration scope, and last calibration or update time when available. Supports visible AI identity, transparency, explainability, labels, and AI interface patterns.

Comparisons supported by this source

Evidence Role

This source is treated as pattern-library evidence. Its value comes from the specific claims and setting described above.

Publisher: IBM Carbon Design System. Last checked: .

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