IBM AI Fairness 360

The most comprehensive open-source fairness toolkit, offering 70+ metrics and 10 bias mitigation algorithms. Built by IBM Research, it is the go-to tool for teams that need to audit ML models for demographic bias before deployment.

AI ToolFree Tier: Apache 2.0Company: IBM ResearchCategory: Safety & EthicsOpen Source: YesQuick Start: Install with pip install aif360 → Load your dataset and define protected attributes → Run bias metrics and apply mitigation algorithms

IBM AI Fairness 360

70+ fairness metrics + 10 mitigation algorithms

Visit IBM AI Fairness 360 →

The most comprehensive open-source fairness toolkit, offering 70+ metrics and 10 bias mitigation algorithms. Built by IBM Research, it is the go-to tool for teams that need to audit ML models for demographic bias before deployment.

FREE TIER
Apache 2.0
COMPANY
IBM Research
CATEGORY
Safety & Ethics › Bias & Guardrails
OPEN SOURCE
Yes
PRIVACY
Self-hosted
TAGS
fairnessbias

QUICK START

Install with pip install aif360 → Load your dataset and define protected attributes → Run bias metrics and apply mitigation algorithms

BEST FOR

  • ▸Teams needing deep, comprehensive demographic bias analysis for ML models.
  • ▸ML engineers requiring a robust, open-source toolkit for pre-deployment audits.
  • ▸Organizations with strict data privacy needing self-hosted bias detection.

NOT FOR

  • ✕Non-technical users seeking a simple, no-code solution for fairness checks.
  • ✕Users without ML expertise or resources to self-host and integrate the toolkit.
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