Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges

Document detail

ID

oai:arXiv.org:2408.08477

Topic

Computer Science - Computers and S...

Author

Shastri, Ishana Jain, Shomik Engelhardt, Barbara Wilson, Ashia

Year

2024

listing date

8/21/2024

Metrics

Abstract

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.

;Comment: Accepted at the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024)

Shastri, Ishana,Jain, Shomik,Engelhardt, Barbara,Wilson, Ashia, 2024, Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges