Bias mitigation is a research area that focuses on identifying and reducing biases in data, algorithms, and decision-making processes. This often involves developing techniques and strategies to ensure that decisions are fair and unbiased, especially in situations where biases may have negative impacts on individuals or groups. Researchers in this area work to understand the sources of bias, develop methods to measure and quantify biases, and implement interventions to mitigate or eliminate bias in various applications, such as healthcare, criminal justice, and hiring practices. The ultimate goal of bias mitigation research is to promote fairness and equity in decision-making processes and outcomes.