Fairness in Risk Assessment
The discussion delves into the complexities of criminal risk assessments and the inherent challenges of balancing fairness with predictive accuracy. It highlights the dilemma of using gender as a factor, which can improve calibration but violate anti-classification principles. A proactive approach is suggested, such as providing high-risk individuals with free ride services to court, aiming to mitigate the consequences of their assessed risks.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
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