Governance

AI Fairness 360

Assess dataset and model bias with fairness metrics and mitigation algorithms.

2.9K GitHub starsAs of Checked

Where it fits

What you can use it for

Practitioners comparing bias measurements and mitigation approaches.

Apply policy, document risks and check system behaviour.

Before you adopt

What to check for your team

Define the affected groups, harms and tradeoffs before choosing metrics. Validate dependency compatibility in a separate environment.

Get help evaluating the fit

Licence and scope

Apache-2.0

Applies to this repository. Dependencies, model weights, datasets and hosted services can have separate terms.

Read the upstream licence

Support the work

Go directly to the maintainers

Use the project's contribution guidance to report issues, help with documentation or contribute code. Follow any published funding links if you want to support the maintainers financially.

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