This study describes the state of current research at the intersection of artificial intelligence (AI) and child sexual abuse (CSA). It examines the uses of AI for the prevention and disruption of CSA, and the ways in which AI is used in CSA offending. An evidence gap map is provided to guide future research.

This report provides the second update on the implementation of the National Strategy. It updates key achievements and progress for all 62 activities outlined in the Strategy’s initial action plan. The report notes significant progress, with seven National Strategy activities now completed.

This examination of the characteristics and behaviours of Australians who access either child sexual abuse material or radical content online finds that individuals who access both are a distinct group, demographically and behaviourally. The findings highlight the need for content moderation policies that consider the overlap between different types of harmful content and target both...

This study seeks to understand the drivers and deterrents of child sexual offending by analysing posts on a darknet forum frequented by self-identified paedophiles. The findings highlight the role of technology in avoiding detection, and the authors call on law enforcement to disrupt technology-mediated discussion among offenders.

The Australian Sexual Offence Statistical collection was established by the Australian Institute of Criminology to monitor sexual offending across the country. The collection brings together data on all types of sexual offending, with a focus on alleged sexual offenders. This is the collection’s first statistical report, covering the period 1 July 2021 to 30 June...