Artificial intelligence and child sexual abuse: a rapid evidence assessment

This study examined the intersection of artificial intelligence (AI) and child sexual abuse (CSA), employing a rapid evidence assessment of research on the uses of AI for the prevention and disruption of CSA, and the ways in which AI is used in CSA offending. Research from January 2010 to March 2024...

Descripción completa

Guardado en:  
Detalles Bibliográficos
Autor principal: Wolbers, Heather (Autor)
Otros Autores: Cubitt, Timothy ; Cahill, Michael John
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2025
En: Trends & issues in crime and criminal justice
Año: 2025, Páginas: 1-18
Acceso en línea: Volltext (kostenfrei)
Journals Online & Print:
Gargar...
Verificar disponibilidad: HBZ Gateway
Palabras clave:
Child abuse and neglect
Child sex offenders
Child sexual exploitation material
Peer-reviewed
Technology
Descripción
Sumario:This study examined the intersection of artificial intelligence (AI) and child sexual abuse (CSA), employing a rapid evidence assessment of research on the uses of AI for the prevention and disruption of CSA, and the ways in which AI is used in CSA offending. Research from January 2010 to March 2024 was reviewed, identifying 33 empirical studies. All studies that met inclusion criteria examined AI for CSA prevention and disruption—specifically, how technology can be used to detect or investigate child sexual abuse material or child sexual offenders. There were no studies examining the uses of AI in CSA offending. This paper describes the state of current research at the intersection of AI and CSA, and provides a gap map to guide future research.
Notas:Literaturverzeichnis: Seite 14-17
Descripción Física:Illustrationen
ISSN:1836-2206
DOI:10.52922/ti77802