You are a data scientist working for a healthcare company building a machine learning model to predict patient readmissions. The dataset contains demographic, medical history, and treatment details. Your team wants to ensure that the model is free from biases against certain demographic groups, such as age or gender. Which solution should you use to identify potential bias in both the training data and the model predictions?