What are some examples of fairness metrics in AI?

What are some examples of fairness metrics in AI?

Fairness metrics help evaluate AI systems for bias. Examples include demographic parity, equal opportunity, and disparate impact.

Can you explain demographic parity?

Demographic parity measures whether different demographic groups receive positive outcomes at the same rate.

What about equal opportunity?

Equal opportunity focuses on ensuring that true positive rates are equal across different groups, reducing bias in positive outcomes.

How is disparate impact different from the others?

Disparate impact assesses whether a decision disproportionately affects a particular group, even if the decision itself isn't biased.

Are there any tools to measure these metrics?

Yes, tools like AIF360 and Fairness Indicators can help measure and analyze fairness metrics in AI models.