AI Safety & Responsible AI
Transparency
Making meaningful information about how an AI system works and is used understandable to stakeholders.
Example
The company clearly tells users when AI influences an important decision.
Why it matters
It lets people make better-informed choices about trusting and using AI.
You'll hear it
“Tell users where AI is involved and what they can question.”
Can you control it?
Sometimes
Sometimes. Some products or workflows let you influence transparency, while others keep it fixed or manage it automatically. Check the settings and documentation for the tool you are using.
Common questions
- Does publishing more information always create transparency?
- No. Large amounts of inaccessible or irrelevant detail can still leave people confused.
- Must transparency reveal private data?
- No. Useful explanation can be provided while protecting information that should remain confidential.
- Does transparency guarantee fair behavior?
- No. A clearly described process can still produce unfair or incorrect results.