Sharad discusses the challenge of defining fairness in algorithms, particularly in high-stakes contexts like judicial and healthcare decisions. He critiques popular mathematical definitions, such as equal false positive rates, arguing they can lead to unfair outcomes. The conversation highlights the need for a more nuanced understanding of how algorithms impact different demographic groups.
