Understanding Bias
Sharad discusses the complexities of measuring equitable police interactions, emphasizing the need for nuanced statistical approaches to understand bias in both human and algorithmic decisions. He highlights the connection between their research on human decision-making bias and the implications for fair machine learning, revealing that these issues are fundamentally intertwined.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Measure and Mismeasure of Fairness with Sharad Goel - #363
Related Questions
What are the challenges of AI bias?
Are hiring algorithms biased as discussed in the episode Mindscape 156 | Catherine D’Ignazio on Data, Objectivity, and Bias and the clip Fairness in Algorithms alongside the episode Zack Chase Lipton — The Medical Machine Learning Landscape and the clip Algorithmic Fairness Challenges?