Some people worry that artificial intelligence will steal their jobs, but machine learning algorithms now generate images of fake fingerprints that match the prints of one in five people on the planet. Other biometric identification systems, such as face and iris recognition, may also be vulnerable. The capability puts the mobile device industry on notice that current biometric authentication systems may not be adequate for securing cell phones and other devices.
Powered by recent advances in artificial intelligence and machine learning, long-hyped technologies such as facial recognition and behavioral biometrics are promising frictionless identity authentication. In the near future, people will be able prove who they are without even trying and sometimes without even knowing they’re doing it.
|Patrick Grother is a computer scientist with the NIST Information Technology Laboratory, in charge of the biometric portion of the FIPS 201 update.|