Sarah M. Brown

In this discussion, Sarah M. Brown, an Assistant Professor at the University of Rhode Island, dives into the crucial need for a systems-level approach to fairness in AI. She introduces Wiggum, a groundbreaking tool for detecting bias that fosters collaboration between technical experts and social scientists. The conversation also touches on how aggregated data can mislead perceptions of fairness, emphasizing the significance of granular analysis. Brown explores the complexities of defining fairness and the importance of innovative educational frameworks in addressing ethical algorithmic challenges.