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

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Shastri, Ishana, Jain, Shomik, Engelhardt, Barbara, Wilson, Ashia
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866929461101854720
author Shastri, Ishana
Jain, Shomik
Engelhardt, Barbara
Wilson, Ashia
author_facet Shastri, Ishana
Jain, Shomik
Engelhardt, Barbara
Wilson, Ashia
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2408_08477
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges
Shastri, Ishana
Jain, Shomik
Engelhardt, Barbara
Wilson, Ashia
Computers and Society
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.
title Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges
topic Computers and Society
url https://arxiv.org/abs/2408.08477