Assessing Predictive Models for Fairness Based on Activity-Space Patterns
The episode discusses 'Assessing Predictive Models for Fairness Based on Activity-Space Patterns,' which challenges traditional fairness checks by using movement data. Hosts explore how daily routines reveal personal information, and detail advanced methodologies like trajectory segmentation and spatial scan statistics to audit models for bias.