TikTok is testing an opt-in ‘Likeness Detection’ tool that utilizes real-time biometric scanning and government ID verification via third-party service Jumio to identify unauthorized AI deepfakes. Once a creator’s identity is authenticated, the platform’s proprietary systems continuously scan for visual matches, allowing users to review and report infringing content. This facial-matching deployment complements TikTok’s existing cryptographic efforts as a C2PA Steering Committee member, where it has already labeled over 3 billion videos using Content Credentials and invisible watermarking.
This rollout signals a pivotal shift from retroactive copyright enforcement to proactive biometric rights management in the creator economy. As rival platforms like YouTube implement similar visual matching frameworks and DSPs battle influxes of unauthorized generative content—with Deezer reporting up to 75,000 AI tracks uploaded daily—scalable likeness protection is becoming a mandatory infrastructure layer for major digital ecosystems.
Curated by MusicResearch.com from Music Business Worldwide. Read the full article at: TikTok is testing an opt-in ‘Likeness Detection’ tool that lets US creators find and report AI deepfakes of themselves
