Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

This article from Practical AI discusses the importance of a systems-level approach to fairness in AI, featuring an interview with Sarah Brown, a computer science professor. The conversation highlights the need to consider ethical and fairness issues holistically, rather than in isolation. The article mentions Wiggum, a fairness forensics tool, and Brown's collaboration with a social psychologist. It emphasizes the role of tools in assessing bias and the importance of understanding their decision-making processes. The focus is on moving beyond individual models to a broader understanding of fairness.