Fairness Indicators

Fairness Indicators are tools that help assess whether machine learning models perform equitably across different groups, such as based on gender, age, or ethnicity. They analyze metrics like accuracy or error rates for each group, highlighting potential biases or disparities. By providing clear visualizations and reports, Fairness Indicators enable developers and organizations to identify, understand, and address fairness concerns in AI systems, ensuring these tools serve all users fairly and ethically.