Allison Koenecke

Adversarial Multiplicity: Cherry-Picked Models and the Limits of Disclosure

Predictive multiplicity -- where similarly accurate models disagree on individual predictions -- can be leveraged to optimize secondary metrics (e.g., fairness) without loss in predictive performance. However, exploiting multiplicity opens the opportunity for motivated parties (or coding agents gaming their objectives)...