Fairness in machine learning refers to the practice of designing AI models that make unbiased and equitable decisions across different demographic groups. It involves mitigating algorithmic bias, ensuring diverse training data, and implementing fairness-aware techniques to prevent discrimination in areas like hiring, lending, and healthcare.