A new study challenges the uniqueness of fingerprint identification. Researchers used facial recognition AI models to analyze more than 60,000 fingerprints and found striking similarities, sparking controversy about the use of fingerprints in forensic science. Whether this discovery will affect existing fingerprint identification technology and have an impact on judicial practice remains to be further studied and verified.
The latest research points out that human fingerprints may not be unique, with more than 60,000 fingerprints found to be similar through facial recognition AI model analysis. Researchers claim that AI can be used for fingerprint correlation, but this has caused controversy in the field of forensic science. Forensic scientists dispute this, saying it does not disrupt current forensic technology.
Although the research results are alarming, it is not yet certain that fingerprint recognition technology will be completely replaced. More research is needed to evaluate the accuracy and reliability of AI models, as well as their limitations in practical forensic applications. This research raises new challenges for the future development of fingerprint identification and prompts us to re-examine the reliability of fingerprint evidence.