How to detect and mitigate bias in datasets
In this section, we explore how to detect bias in our datasets, and there are various tools and methods we can use for this purpose. In fact, we’ve already covered some of them in previous chapters of this book, such as data exploration and visualization.
Data exploration and visualization
When we explore our datasets using visualization, for example, charts such as histograms and scatter plots can help visualize disparities in data distribution for different demographic groups. Similarly, we’ve already explored descriptive statistics such as mean, median, mode, and variance to understand the contents of our datasets. If there are significant disparities in these statistics between subgroups, it may suggest the presence of bias in the dataset.
Specific tools for detecting dependencies between features
We also want to test for potential correlations or dependence between features in our dataset in order to understand...
