The latest research, led by Columbia University engineering student Gabe Guo, raises questions about the reliability of traditional criminal investigation methods. The findings could potentially help solve unsolved criminal cases and even exonerate innocent people.
Detectives have long relied on fingerprints to identify suspects and link them to crime scenes. This method has led to numerous arrests and convictions based on the assumption that fingerprints are unique to each individual finger and that no two are the same.
However, a new one study by Gabe Guo using artificial intelligence has revealed something amazing. When analyzing 60,000 pairs of fingerprints from a government database, the researchers found several similarities.
It turned out that the prints of different fingers on the same hand can be similar, and sometimes even the same.
Artificial intelligence was able to determine with 77% accuracy which pairs of fingerprints belong to the same person, which surprised the researchers themselves. This discovery could have major consequences in the field of forensic science.
Gabe Guo noted that their tool may not be perfect for identifying evidence in forensic cases, but is suitable for generating important insights in forensic investigations.
This discovery could change the way we think about the use of fingerprints in criminal investigations and have far-reaching implications for the justice system.
Experts believe that such results can help reveal new facts in criminal cases and warn about incorrect accusations.