Evaluating Discrimination and Algorithmic Bias

This chapter discusses the challenges and changes in assessing discrimination and algorithmic bias, emphasizing the need to focus on outcomes rather than inputs. It explores ideas such as running experiments and analyzing outputs to mitigate algorithmic bias, as well as proposed regulations on discriminatory lending practices, racist intent, and the influence of algorithms on justice.