ChatGPTing Securely: Using Machine Learning to Automate Writing Rape Reports, Closed Source Large Language Models

• NCJ Number: 308937
• Author(s): Jiaxin Du; Rachel Lovell
• Date Published: March 2024
• Length: 60 pages
• Grant Number(s): 2018-VA-CA-0002
• Agencies: NIJ-Sponsored
• Publication Type: Publication

Annotation

This conference program includes a paper on how to use machine learning in a secure fashion to automate the writing of rape reports.

Abstract

This paper is about the secure use of machine learning to write rape reports, by Jiaxin Du of Texas A&M University and Rachel E. Lovell of Cleveland State University, was presented in the session “Approaches in Qualitative Methods” chaired by, Robert Apel, at the 61st Academy of Criminal Justice Sciences (ACJS) Annual Meeting, “Represent: Pursuing Equitable Justice for Families, Schools, Communities, and Marginalized Populations & Individuals.”