Fairness, Interpretability, & Diverse Datasets Are Not Enough

The concept of “biased data” is often too generic to be useful.  Through a series of case studies, we will explore what algorithmic bias is, different types (with different causes), and debunk some common misconceptions.  We will cover why algorithmic bias...