In the previous chapter, we looked at explainability and its importance as a key responsible AI principle/attribute. We also discussed ways to measure explainability using the RGE metric and reviewed a few adversarial benchmarks for robustness, including ways to improve the robustness of your models, if they score poorly on the robustness scoring rubric. The next responsible AI principle we’ll discuss is “fairness” and how it relates to human rights. These principles will be covered in this chapter.