Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges
Bringing more transparency to the judicial system for the purposes of increasing accountability often demands extensive effort from auditors who must meticulously sift through numerous disorganized legal case files to detect patterns of bias and errors. For example, the high-profile investigation into the Curtis Flowers case took seven reporters a full year to assemble evidence about the prosecutor's history of selecting racially biased juries. LLMs have the potential to automate and scale these transparency pipelines, especially given their demonstrated capabilities to extract information from unstructured documents. We discuss the opportunities and challenges of using LLMs to provide transparency in two important court processes: jury selection in criminal trials and housing eviction cases.
Authors
- Shomik Jain (ORCID: https://orcid.org/0000-0001-5232-3264)
- Ishana Shastri
- Barbara Engelhardt
- Ashia Wilson
Institutions
- Massachusetts Institute of Technology (US)
- Stanford University (US)
Publication Details
- Journal
- Proceedings of the AAAI/ACM Conference on AI Ethics and Society
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1609/aies.v7i1.31729
- Primary Topic
- Law, Economics, and Judicial Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Canadian Institute for Advanced Research