Paper Type

Complete

Abstract

Sexual violence is one of the most long-standing forms of gender-based violence. It constitutes a violation of human, sexual, and reproductive rights and should be recognized as a public health issue. A key challenge and necessity for public safety is identifying the profiles of victims of sexual and gender-based violence to implement effective measures to combat this type of violence. While Artificial Intelligence has the potential to aid in automated identification, its effectiveness is hindered by a lack of structured data on the subject. Thus, this study aims to present a method for extracting and analyzing textual information found in reports of sexual and gender-based violence concerning victims examined by forensic institutions.

Paper Number

TR-1659

Download
See Translated Version

Share

COinS
 
Aug 14th, 12:00 AM

Challenges in Extracting Forensic Data on Sexual and Gender-Based Violence Victims

Sexual violence is one of the most long-standing forms of gender-based violence. It constitutes a violation of human, sexual, and reproductive rights and should be recognized as a public health issue. A key challenge and necessity for public safety is identifying the profiles of victims of sexual and gender-based violence to implement effective measures to combat this type of violence. While Artificial Intelligence has the potential to aid in automated identification, its effectiveness is hindered by a lack of structured data on the subject. Thus, this study aims to present a method for extracting and analyzing textual information found in reports of sexual and gender-based violence concerning victims examined by forensic institutions.

When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.