Uncovering Data Bias

Sara discusses the challenges of labeling data and protected attributes, proposing unsupervised methods to identify biased data subsets for further auditing. Tim delves into the complexities of interpretability in deep learning models, questioning the trade-offs between model complexity and understandability.