ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick Schmidt
The MLSecOps Podcast
00:00
Ensuring Fairness and High Predictiveness in ML Models
This chapter emphasizes the importance of mitigating discrimination in machine learning models to ensure fairness and high predictiveness. It discusses the need for a strong model governance structure with principles such as fairness, accountability, and ownership. The chapter explores various aspects of model governance, including transparency, explainability, fairness, robustness, data quality, integrity, monitoring, and validation.
Transcript
Play full episode
