From data to information: automating data science to explore the U.S. court system. - Andrew Paley; Andong L. Li Zhao; Harper Pack; Sergio Servantez; Rachel F. Adler; Marko Sterbentz; Adam R. Pah; David L. Schwartz; Cameron Barrie; Alexander Einarsson; Kristian J. Hammond (ICAIL, 2021)

Requirements for Open Political Information: Transparency Beyond Open Data. - Andong Luis Li Zhao; Andrew Paley; Rachel F. Adler; Harper Pack; Sergio Servantez; Alexander Einarsson; Cameron Barrie; Marko Sterbentz; Kristian J. Hammond (CoRR, 2021)

OpenIllinois: An Information System for Transparency in Illinois State Electoral Finances. - Andong Luis Li Zhao; Andrew Paley; Rachel F. Adler; Kristian J. Hammond (DG.O, 2022)

"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI. - Leilani H. Gilpin; Andrew R. Paley; Mohammed A. Alam; Sarah Spurlock; Kristian J. Hammond (CoRR, 2022)

Lightweight Knowledge Representations for Automating Data Analysis. - Marko Sterbentz; Cameron Barrie; Donna Hooshmand; Shubham Shahi; Abhratanu Dutta; Harper Pack; Andong L. Li Zhao; Andrew Paley; Alexander Einarsson; Kristian J. Hammond (CoRR, 2023)

A user-centered approach to developing an AI system analyzing U.S. federal court data. - Rachel F. Adler; Andrew Paley; Andong L. Li Zhao; Harper Pack; Sergio Servantez; Adam R. Pah; Kristian J. Hammond; SCALES O. K. N. Consortium (Artif. Intell. Law, 2023)