cover image of the project
DensityDesign FSDS 2019/2020

Facial Recognition: Different concerns from east to west and its countermeasures

A project by Group 10group 10

Are you surprised when you find out Facebook can recognize all your friends in your photos and tag them automatically? Or are you amazed by the news that a missing child was spotted in a few hours using facial recognition technology?

It seems like this technology only appears in science fiction movies a few years ago. But now facial recognition has been widely used for security and surveillance in urban spaces, airports, smartphones and online payments. Along with the convenience it brought us, a number of concerns rise: privacy, human rights violation, racial bias.

Contrarily, how people’s attitudes and concerns are different towards facial recognition in eastern and western countries? Are they embracing it, or counteracting it? And how are people reacting to protect themselves from this technology?

By exploring entities from digital media platforms, different perspectives and related concerns have been analyzed and visualized in the form of multiple research protocols.

These protocols starts from a specific case and then highlight the current discussions, potential threats and possible countermeasures from people across different nations. Through these protocols, we found that eastern nations believed more about the use of technology in improving their daily life and security society, while western nations argue more on ethical issues like human rights and bias. At the same time, ways of anti-facial recognition become new trends on social media.

Research Questions

How are the attitudes different on the case of HK people tearing down the smart lamp tower (or called surveillance Tower) on Google and Baidu ?

On 24th of August 2019, protesters in Hong Kong destroyed a “smart” lamp post over fears that the device was equipped with facial recognition software and was being used for surveillance purposes. HK government stated that the lamp posts do not carry any facial recognition functions and images captured will not be sent to any third-party applications.We designed this protocol in order to find these different opinions.

In which terms are people talking about facial recognition on the most popular social media platforms in U.S. (and other English speaking countries), China, Italy and India ?

From East to West, facial recognition technology is increasingly being used. Delta Airlines uses it for passenger check-in in United States. In China, facial recognition is being used at public places like shopping malls, streets, schools, banks, etc. And Indian government is setting up the world’s biggest facial recognition system.What are the different concerns people have from western to eastern countries regarding facial recognition?

Which are the most mentioned potential threats caused by facial recognition on the videos from YouTube and Bilibili?

With the widespread use of face recognition technology in our daily life, the controversy and concern has been on the rise. What are the potential threats to this technology? What is the difference between east and west in the discussion of this issue?

Which key positions on the facial geometry could be covered by humans based on Instagram users in order to fool the facial recognition system?

Facial-recognition algorithms rely on the identification and spatial relationship of key facial features, like symmetry and tonal contours. Therefore, many people use fashion as camouflage to beat facial recognition, such as an event held by The Dazzle Club. This research protocol focuses on the method of anti-facial recognition based on Instagram users and shows the key positions they cover mostly on face in order to fight facial recognition.