Tootfinder

(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin, Niloufar Salehi
https://arxiv.org/abs/2403.13004 h…

(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Accountable use of AI systems in high-stakes settings relies on making systems contestable. In this paper we study efforts to contest AI systems in practice by studying how public defenders scrutinize AI in court. We present findings from interviews with 17 people in the U.S. public defense community to understand their perceptions of and experiences scrutinizing computational forensic software (CFS) -- automated decision systems that the government uses to convict and incarcerate, such as faci…

Density and Affinity Dependent Social Segregation and Arbitrage Equilibrium in a Multi-class Schelling Game
Venkat Venkatasubramanian, Jessica Shi, Leo Goldman, Arun Sankar E. M., Abhishek Sivaram
https://arxiv.org/abs/2403.04084

Density and Affinity Dependent Social Segregation and Arbitrage Equilibrium in a Multi-class Schelling Game
Contrary to the widely believed hypothesis that larger, denser cities promote socioeconomic mixing, a recent study (Nilforoshan et al. 2023) reports the opposite behavior, i.e. more segregation. Here, we present a game-theoretic model that predicts such a density-dependent segregation outcome in both one- and two-class systems. The model provides key insights into the analytical conditions that lead to such behavior. Furthermore, the arbitrage equilibrium outcome implies the equality of effecti…