I started at Slate not too long ago, and in my first weeks in the magazine's New York office, I was faced with a problem that is familiar to anyone who's ever started a new office job. I was surrounded by dozens of new faces and struggled to connect them to names. Which man with a scruffy beard was the one in charge of podcasts again? Who was the friendly woman at my desk pod offering me some of her snacks? I found myself wishing, as I often do, that everyone was wearing a nametag.

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.