AI fairness and evaluation

Evaluate AI behavior in the context where it will be used.

Evaluation goals

A useful evaluation considers representative users, languages, accessibility needs, and possible unequal outcomes. The tests and review process should match the product and its intended use.

Published evidence

No platform-wide independent fairness audit or real-time bias monitoring report is published here. Ask for the evaluation methods, model versions, limitations, and results relevant to your deployment.

Report a concern

Contact support with an example and the product name. Avoid including unnecessary personal information.

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