bias measurement

Bias measurement refers to assessing whether a system, such as a machine learning model, makes decisions or predictions fairly across different groups. It involves analyzing if the system favors or disadvantages specific populations based on attributes like race, gender, or age. By quantifying these disparities, we can identify potential unfairness and work to improve the system’s fairness. Essentially, bias measurement helps ensure that technology treats everyone equitably, making outcomes more just and representative.