Utilizing Statistical Analysis to Detect Bias in Training Data

Current methods that employ statistical analysis for detecting bias in training data are moderately effective. They can efficiently identify discrepancies in data distribution, such as overrepresentation or underrepresentation of certain groups or features. However, the effectiveness of these methods is contingent on the complexity of the data and the type of bias present. While they perform well in detecting overt biases, they might not be as effective in uncovering subtler forms of bias or biases hidden in complex relationships between features.