Satyrn: A Platform for Analytics Augmented Generation
Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, and Kristian J Hammond. 2024. “Satyrn: A Platform for Analytics Augmented Generation”. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 6360–6385, Miami, Florida, USA. Association for Computational Linguistics.
Chain of Logic: Rule-Based Reasoning with Large Language Models
Servantez, Sergio & Barrow, Joe & Hammond, Kristian & Jain, Rajiv. (2024). “Chain of Logic: Rule-Based Reasoning with Large Language Models.” 2721-2733. 10.18653/v1/2024.findings-acl.159.
Machine Teaching Allows for Rapid Development of Automated Systems for Retinal Lesion Detection From Small Image Datasets
Michael Drakopoulos, Donna Hooshmand, Laura A. Machlab, Paul J. Bryar, Kristian J. Hammond, Rukhsana G. Mirza, “Machine Teaching Allows for Rapid Development of Automated Systems for Retinal Lesion Detection From Small Image Datasets”., Ophthalmic Surgery, Lasers and Imaging Retina, 2024, 1-4
A debiasing technique for place-based algorithmic patrol management
Alexander Einarsson, Simen Oestmo, Lester Wollman, Duncan Purves, and Ryan Jenkins. “A debiasing technique for place-based algorithmic patrol management.” arXiv preprint arXiv:2401.06162 (2023).
Lightweight Knowledge Representations for Automating Data Analysis
Marko Sterbentz, Cameron Barrie, Donna Hooshmand, Shubham Shahi, Abhratanu Dutta, Harper Pack, Andong Li Zhao, Andrew Paley, Alexander Einarsson, Kristian Hammond (preprint)
Computable Contracts by Extracting Obligation Logic Graphs
Servantez, Sergio & Lipka, Nedim & Siu, Alexa & Aggarwal, Milan & Krishnamurthy, Balaji & Garimella, Aparna & Hammond, Kristian & Jain, Rajiv. (2023). “Computable Contracts by Extracting Obligation Logic Graphs”. 267-276. 10.1145/3594536.3595162.
Toward a Safety Science in Artificial Intelligence
Alexander Einarsson, Andrea Azzo, Kristian J. Hammond. “Toward a Safety Science in Artificial Intelligence”. Center for Advancing Safety of Machine Intelligence Workshop White Paper. 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, K., & SCALES OKN Consortium (2023). “A user-centered approach to developing an AI system analyzing U.S. federal court data”. Artificial Intelligence and Law, 31(3), 547-570.
Requirements for Open Political Information: Transparency Beyond Open Data
Andong Luis Li Zhao, Andrew Paley, Rachel Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz, Kristian Hammond. “Requirements for Open Political Information: Transparency Beyond Open Data”. Presented at AAAI FSS-21: Artificial Intelligence in Government and Public Sector, Washington, DC, USA. November 4-6, 2021.
From Data to Information: Automating Data Science to Explore the US Court System
Paley, Andrew, Andong L. Li Zhao, Harper Pack, Sergio Servantez, Rachel F. Adler, Marko Sterbentz, Adam Pah et al. “From data to information: automating data science to explore the US court system.” In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law, pp. 119-128. 2021.
How to build a more open justice system
Pah, Adam R., David L. Schwartz, Sarath Sanga, Zachary D. Clopton, Peter DiCola, Rachel Davis Mersey, Charlotte S. Alexander, Kristian J. Hammond, and Luís A. Nunes Amaral. “How to build a more open justice system.” Science 369, no. 6500 (2020): 134-136.