Mining 911 Calls in New York City: Temporal Patterns, Detection, and Forecasting. - Alex Chohlas-Wood; Aliya Merali; Warren Reed; Theodoros Damoulas (AAAI Workshop: AI for Cities, 2015)

Guiding Prosecutorial Decisions with an Interpretable Statistical Model. - Zhiyuan Lin 001; Alex Chohlas-Wood; Sharad Goel (AIES, 2019)

A Recommendation Engine to Aid in Identifying Crime Patterns. - Alex Chohlas-Wood; E. S. Levine (INFORMS J. Appl. Anal., 2019)

Blind Justice: Algorithmically Masking Race in Charging Decisions. - Alex Chohlas-Wood; Joe Nudell; Keniel Yao; Zhiyuan (Jerry) Lin; Julian Nyarko; Sharad Goel (AIES, 2021)

Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making. - Alex Chohlas-Wood; Madison Coots; Emma Brunskill; Sharad Goel (CoRR, 2021)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (CoRR, 2023)

Designing equitable algorithms. - Alex Chohlas-Wood; Madison Coots; Sharad Goel; Julian Nyarko (Nat. Comput. Sci., 2023)