The Impact of Algorithmic Bias and Unconscious Bias on Decision-Making

This chapter explores the presence of algorithms in our daily lives and their potential biases, highlighting examples such as targeted advertisements, credit evaluation, job applications, and crime prediction. The guest discusses algorithmic bias and how biased training data can lead to discriminatory outcomes, using the compass algorithm as an example.