CSEM, Generative Artificial Intelligence, and the Law
The proliferation of Generative Artificial Intelligence is transforming the landscape of CSEM creation, distribution, and forensics.
Research on child sexual abuse or exploitation material, online sexual offending, solicitation, sextortion, production, distribution, and internet-facilitated offenses.
The proliferation of Generative Artificial Intelligence is transforming the landscape of CSEM creation, distribution, and forensics.
CSAM Offending meta-analysis (2025) updates recidivism rates: low official reoffense, higher self-report, and key CSAM-only vs mixed differences.
This summarizes key findings from a self report study offering critical insights into initial CSAM viewing, online behaviors, and factors influencing offending.
There is a prevalence of Child Sexual Abuse Materials cases and no fully validated risk assessment measure for these cases. Looking at the Static-99R and CPORT.
CSAM cases continue to proliferate, the question remains: What risk assessment measures can be used for cases without co-occuring contact offending behaviors?
In this article, Mark Mahoney, Esquire, lays out the primary symptoms of ASD and the peculiarities of autism and the law.
Analysis of a meta-study trying to validate the forensic use of the Child Pornography Offender Risk Tool (CPORT) for actuarial CSAM risk assessment.
It has been known for quite some time that there are two categories of CSAM offenders, internet-only and mixed offenders.
What are the findings of the multi-year, state government-funded report of the PA Task Force on Child Pornography? And what are its recommendations?
A look at the data and results of an August 2022 study of 141 sexual offenders. The study further emphasizes the recidivism prediction abilities of the CPORT.