Japan police link majority of minor deepfakes to classmates

Japanese law enforcement officials reported that classmates generated over half of detected sexual deepfakes depicting minors, utilizing photographs sourced primarily from school environments. The National Police Agency identified this peer-driven abuse as a high-severity security concern, distinguishing it from organized criminal exploitation networks. Investigators noted that perpetrators frequently accessed source material through official school publications and social media accounts rather than illicit leaks. This finding indicates that generative AI tools have lowered technical barriers for interpersonal harassment among students. Authorities are now urging educational institutions to implement stricter digital privacy protocols regarding student photography. The disclosure coincides with broader national efforts to update cybercrime legislation addressing synthetic media. Experts warn that current content moderation frameworks fail to address localized, non-viral abuse occurring within closed peer networks. Police data suggests detection rates remain low due to underreporting by victims fearing social stigma.