Open-Source Fairness Toolkit
Compare the leading open-source AI fairness tools, understand their strengths and trade-offs, then plan an audit workflow matched to your team's skills and resources.
Toolkit Comparison Guide
Four open-source tools that HR teams can use to audit AI systems for fairness. Click each card to see detailed information including limitations and learning curve.
Audit Workflow Planner
Answer three questions about your organisation and we will recommend a tailored audit workflow with specific tools at each step.
Key Insight: Match the Tool to Your Team, Not the Other Way Around
The most powerful fairness tool is useless if your team cannot operate it effectively. A no-code visual tool used consistently will catch more bias than a comprehensive Python library that sits unused because nobody on the team can write the scripts. Start with what your team can actually use today, then build capability over time.
For most HR teams without in-house data scientists, the recommended path is to start with Aequitas or the What-If Tool for immediate auditing capability, then gradually introduce AIF360 or Fairlearn as your team's technical skills develop or as you bring analytics support on board.