Policy & RegulationSignal

Xinhua Addresses AI Voice Cloning and Biometric Security Governance

Xinhua News Agency reports on emerging fraud risks from voice cloning and calls for proactive governance over biometric data abuses.

Share
Illustrative image: A grand government chamber with elegant columns and seating. Perfect for politics or architecture themes.
Illustrative image; not a photograph of this reported event. Photo by raksasok heng on Pexels

The Brief

Xinhua News Agency reported that fraud prevention advice urging people to stay silent for three seconds when answering unfamiliar calls circulated widely on social media platforms. The alert warns that criminals may deliberately stay quiet to prompt responses, using brief speech samples to replicate vocal prints through artificial intelligence to impersonate victims. While staying silent provides an easy personal tip, the development of artificial intelligence technology has lowered the threshold for fabricating voices, and individuals cannot genuinely remain quiet online given wide exposure across voice messages, short videos, public speeches, and online conferences. Sensitive personal biometric data such as voice prints, fingerprints, faces, and irises face ongoing problems including excessive collection, induced authorization, and covert retention. Reported abuses include using artificial intelligence face-swapping to bypass facial recognition and drain bank cards, cloning celebrity voices for marketing, and simulating voices of relatives to defraud the elderly. Governance must move forward proactively by severely punishing illegal biological data collection, cracking down on illicit data markets, enforcing mandatory identification labels on generated synthetic content, establishing joint defense mechanisms against abnormal voices, and implementing biometric cross-verification during key transactions like transfers and remittances.

Why it matters

Reported illegal activities involving the misuse of biometric data include using artificial intelligence face-swapping to crack facial recognition systems and swipe victims' bank cards, cloning celebrity voices to drive sales traffic, and imitating relatives' voices to deceive older individuals.

Key Takeaways

  • 1Scammers exploit short phone responses to replicate voice prints using artificial intelligence for impersonation schemes.
  • 2Sensitive biometric identifiers such as voice prints and faces face unauthorized gathering, covert storage, and fraudulent abuse.
  • 3Proposed governance measures include mandatory watermarking of synthesized content and biometric cross-verification for fund transfers.

Sources

  1. “沉默三秒”之外,治理AI滥用要敢于亮剑 — Xinhua News Agency · 10/13/2026