2026
Quantifying Error Disparities in Population Health Models
Aaron Marker, Salvatore Giorgi, Adithya V Ganesan, Vasudha Varadarajan, Ojas Deshpande, Laura Brandt +2
IJCAI 2026
Many high-stakes social applications of AI, such as public health surveillance and policy planning, operate at the community- rather than individual-level. However, most model fairness research evaluates disparities at the individual- or data-level (i.e. document or image) and rely on metrics define