Understanding Confirmation Bias

Keith and Tim delve into the differences between human confirmation bias and machine learning models, highlighting how machine learning treats all data points with importance, unlike human biases that tend to ignore low probability data. They also discuss the impact of outliers in small data sets and the importance of trustworthy explanations in model interpretation.