Bias minimization involves implementing strategies and techniques to reduce or eliminate biases in data, algorithms, and decision-making processes to ensure fairness, accuracy, and inclusivity. It is crucial for creating equitable systems that do not disproportionately disadvantage any group based on factors such as race, gender, or socioeconomic status.