Fairness metrics are quantitative measures used to assess the degree to which a machine learning model treats different groups equitably, often focusing on protected attributes like race, gender, or age. These metrics help identify and mitigate biases in models, ensuring that outcomes are not disproportionately favorable or unfavorable to any particular group.