fairlearn

What problem does it solve?

This Skill helps users assess and improve the fairness of machine learning models, ensuring compliance with regulations like the EU AI Act's Article 10.

Core Features & Use Cases

• Fairness Assessment: Evaluate AI systems for bias using fairness metrics.
• Compliance Check: Align AI practices with EU AI Act requirements for fairness.
• Risk Mitigation: Implement controls to address fairness-related risks in AI systems.
• Use Case: A data scientist developing a loan application model can use this Skill to check if the model unfairly discriminates against certain demographic groups and then apply mitigation techniques.

Quick Start

Use the fairlearn skill to assess the fairness of the attached model file 'loan_model.pkl'.