Bias and fairness in AI

In this chapter, we dive deeper into the concepts of bias, discrimination, and fairness in the machine learning domain. Further, you’ll learn about the different types of biases and how they might slip into AI models. AI unfairness is a concerning societal issue and has many interpretations and definitions. To measure and describe these challenges, various fairness metrics can be useful. Thus, in this chapter, you’ll also learn to use these metrics to detect model unfairness and the ways to mitigate it.