3 accepted papers
Recent scholarship has argued that firms building data-driven decision systems in high-stakes domains like employment, credit, and housing should search for “less discriminatory algorithms” (LDAs) (Black et al., 2023). That is, for a given decision problem, firms considering deploying a model should…
AI arenas, which rank models from pairwise preferences of users, are an industry-standard evaluation mechanism for generative models. In a recent paper, Singh et al. (2025) demonstrate that widely-used mechanisms are not clone-robust: In particular, they submitted multiple copies of the same model a…
Researchers and practitioners often wish to measure treatment effects in settings where units interact via markets and recommendation systems. In these settings, units are affected by certain *shared states*, like prices, algorithmic recommendations or social signals. We formalize this structure,…