November 5 2021: Facebook has announced that it will be shutting down its facial recognition option for its users  This means, that for the 640 million Facebook users who opted in to face-recognition features, the faces in their  photos, videos and memories will no longer be automatically tagged, or identified.
This comes in response to many privacy concerns that the  face recognition technology raised. While it might not have mattered with well known celebrities – as in this famous Oscar night selfie  ( image bottom) by host Ellen Generes,  many individuals  have reported discomfort of invasion of privacy due to misuse of the tool.
-------------------------------------------------------------------------------------------------------------------------
How the face recognition setting works:
Face recognition is used to analyze the photos and videos we think you're in on
Facebook, such as your profile picture and photos and videos that you’ve been tagged
in, to make a unique number for you, called a template.
When you turn your face recognition setting on, we create your template and use it to
compare to other photos, videos and other places where the camera is used
(like live video) to recognize if you appear in that content. 
-------------------------------------------------------------------------------------------------------------------------
In a statement entitled An Update On Our Use of Face Recognition , by Facebook ( sorry Meta!), the company say
In the coming weeks, Meta will shut down the Face Recognition system on Facebook as part of a company-wide move to limit the use of facial recognition in our products. As part of this change, people who have opted in to our Face Recognition setting will no longer be automatically recognized in photos and videos, and we will delete the facial recognition template used to identify them.  
This change will represent one of the largest shifts in facial recognition usage in the technology’s history. More than a third of Facebook’s daily active users have opted in to our Face Recognition setting and are able to be recognized, and its removal will result in the deletion of more than a billion people’s individual facial recognition templates. 
Making this change required careful consideration, because we have seen a number of places where face recognition can be highly valued by people using platforms.  For example, our award-winning automatic alt text system, that uses advanced AI to generate descriptions of images for people who are blind and visually impaired, uses the Face Recognition system to tell them when they or one of their friends is in an image. 

For many years, Facebook has also given people the option to be automatically notified when they appear in photos or videos posted by others, and provided recommendations for who to tag in photos. These features are also powered by the Face Recognition system which we are shutting down. 
Looking ahead, we still see facial recognition technology as a powerful tool, for example, for people needing to verify their identity, or to prevent fraud and impersonation. We believe facial recognition can help for products like these with privacy, transparency and control in place, so you decide if and how your face is used. We will continue working on these technologies and engaging outside experts.
But the many specific instances where facial recognition can be helpful need to be weighed against growing concerns about the use of this technology as a whole. There are many concerns about the place of facial recognition technology in society, and regulators are still in the process of providing a clear set of rules governing its use. Amid this ongoing uncertainty, we believe that limiting the use of facial recognition to a narrow set of use cases is appropriate. 
This includes services that help people gain access to a locked account, verify their identity in financial products or unlock a personal device. These are places where facial recognition is both broadly valuable to people and socially acceptable, when deployed with care. While we will continue working on use cases like these, we will ensure people have transparency and control over whether they are automatically recognized. 
But like most challenges involving complex social issues, we know the approach we’ve chosen involves some difficult tradeoffs. For example, the ability to tell a blind or visually impaired user that the person in a photo on their News Feed is their high school friend, or former colleague, is a valuable feature that makes our platforms more accessible. But it also depends on an underlying technology that attempts to evaluate the faces in a photo to match them with those kept in a database of people who opted-in. The changes we’re announcing today involve a company-wide move away from this kind of broad identification, and toward narrower forms of personal authentication. 
Facial recognition can be particularly valuable when the technology operates privately on a person’s own devices. This method of on-device facial recognition, requiring no communication of face data with an external server, is most commonly deployed today in the systems used to unlock smartphones. 
We believe this has the potential to enable positive use cases in the future that maintain privacy, control and transparency, and it’s an approach we’ll continue to explore as we consider how our future computing platforms and devices can best serve people’s needs. For potential future applications of technologies like this, we’ll continue to be public about intended use, how people can have control over these systems and their personal data, and how we’re living up to our responsible innovation framework. 
Ending the use of our existing Face Recognition system means the services it enables will be removed over the coming weeks, as will the setting allowing people to opt into the system.