Discrimination-aware Data Mining focuses on identifying and mitigating bias in data-driven models to ensure fair and equitable outcomes. It involves techniques to detect discriminatory patterns and adjust algorithms to prevent unfair treatment based on sensitive attributes like race, gender, or age.