AI-generated CSAM: not victimless, and deeply harmful
Some say synthetic CSAM has no victims. This paper shows why that’s dangerously wrong.
The authors examine how AI-generated child sexual abuse material can revictimize known survivors, create synthetic depictions of children who were not abused, facilitate grooming and extortion, normalize exploitation, and lower barriers to offending. They caution against claims that it could reduce harm.
Why it matters: Treating this as “harmless” risks delaying urgent action across tech, policy, and law enforcement. It’s a warning flare: ignoring systemic risks won’t make them disappear.
Think of it as a toxic spill in the information ecosystem—the contamination spreads, even if you don’t see it. We need coordinated cleanup and stronger safeguards. 🚨🛑🛡️
Read the analysis, then support evidence-based protections that put children’s safety first.
Paper: http://arxiv.org/abs/2510.02978v1
Register: https://www.AiFeta.com
Paper: http://arxiv.org/abs/2510.02978v1
Register: https://www.AiFeta.com
#ChildSafety #TrustAndSafety #AIEthics #Policy #SafetyByDesign #OnlineSafety #ResponsibleAI
