The security and privacy risks of face recognition authentication

Face recognition authentication

Credits: Reuters/Stephen Lam

In its latest product event, with the launch of FaceID, Apple made it clear that it’s transitioning toward making face recognition the principal method to unlock phones, and it will be ditching fingerprint authentication in its favor. Other manufacturers are making similar moves, including Samsung and Qualcomm, the smartphone chipmaker.

There’s a clear benefit to using your face to identify yourself: It’s fast and convenient. All you need to do is show your face to your phone’s camera to unlock it. In the case of Apple’s new flagship phone, you don’t even need to press a button; it will automatically detect your face as soon as you’re within the selfie camera frame.

Face recognition spares you remembering yet another passcode, and it’s certainly easier to use than pressing your thumb against the fingerprint sensor. However, more convenient does not necessarily mean more secure and private. In fact, in most cases, there’s a tradeoff between ease of use and security. Continue reading

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The biggest artificial intelligence developments of 2016

Artificial intelligence - Machine learning

This year was a big one for artificial intelligence, machine learning, deep learning and all the related technologies. Thanks to innovations and breakthroughs, the industry took great leaps both for the better and the worse this year.

Though we’re still a long way from Singularity or Skynet (or Genisys or whatever else you want to call a robot and artificial intelligence invasion), we can all acknowledge that the lines between man and machine became a little bit more blurred in 2016.

Here are some of the hottest things AI had in stock for us in the past year.

RELATED: How to make sense of the confusion surrounding artificial intelligence  Continue reading

Machine learning has a privacy problem

Artificial intelligence - Machine learning

Despite all of its benefits, artificial intelligence is introducing some controversial issues, and it’s not all about stealing our jobs. Thanks to machine learning algorithms, assets that were previously in our sole possession are no longer private and can be accessed and used by anyone who has the nerves to do a little search and install the right applications. Continue reading