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| Illustration by Justin Pickard. |
This summer, Facebook will present a paper at a computer vision conference revealing how it has created a tool almost as accurate as the human brain when it comes to saying whether two photographs show the same person – regardless of changes in lighting and camera angles. A human being will get the answer correct 97.53% of the time; Facebook's new technology scores an impressive 97.25%. "We closely approach human performance," says Yaniv Taigman, a member of its AI team.
Since the ability to recognise faces has long been a benchmark for artificial intelligence, developments such as Facebook's "DeepFace" technology (yes, that's what it called it) raise big questions about the power of today's facial recognition tools and what these mean for the future.
Facebook is not the only tech company interested in facial recognition. A patent published by Apple in March shows how the Cupertino company has investigated the possibility of using facial recognition as a security measure for unlocking its devices – identifying yourself to your iPhone could one day be as easy as snapping a quick selfie...
Not everyone is happy about this. US senator Al Franken has spoken out against apps that use facial recognition to identify strangers, going so far as to publish an open letter to NameTag's creators. "Unlike other biometric identifiers such as iris scans and fingerprints, facial recognition is designed to operate at a distance, without the knowledge or consent of the person being identified," he wrote. "Individuals cannot reasonably prevent themselves from being identified by cameras that could be anywhere – on a lamp post, attached to an unmanned aerial vehicle or, now, integrated into the eyewear of a stranger."
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