TikTok has initiated a limited test of an opt-in artificial intelligence likeness detection system designed to help creators identify and report unauthorized digital replicas of their appearances. The initiative, first identified by social media consultant Matt Navarra, is currently being rolled out to a select group of creators in the United States. According to TikTok US spokesperson Zachary Kizer, the platform developed the feature to give content creators greater control over how their visual identity is utilized across the app. The verification and reporting process requires creators to authenticate their identity through third-party provider Jumio. Participants must complete a real-time selfie scan and submit a government-issued identification document. TikTok has confirmed that it does not store identity documents, emphasizing that facial data is exclusively utilized for likeness matching and the detection of potential unauthorized content. Once authenticated, the system continuously scans the platform for AI-generated media that may incorporate a creator’s likeness. Users can then review the flagged material and submit formal reports against offending posts or associated accounts. The testing phase positions TikTok’s effort alongside broader industry movements to regulate synthetic media. YouTube recently deployed a comparable likeness detection system, extending access to all adult users following internal development and beta testing. As generative AI tools continue to lower the barrier for creating photorealistic synthetic content, major social platforms are increasingly implementing technical safeguards to protect creator intellectual property and personal identity. TikTok’s current US-focused trial will likely inform the scope, privacy architecture, and moderation workflows of any future global expansion of the tool.