In this episode, we explore how the algorithms and machine learning models that power many of our technological systems can perpetuate and amplify human biases. We'll examine case studies of algorithmic bias in areas like hiring, criminal justice, and online advertising, and discuss the challenges of building fair and unbiased AI systems. We'll also explore potential solutions, such as algorithmic auditing and the inclusion of diverse perspectives in the development of these technologies.