Facial Recognition: Statement of the SI Expert Group “Informatics & Society”

As the SI’s specialist group “Informatics and Society“, we recommend banning facial recognition with the potential for mass surveillance in public spaces. Not only because of the known and in many places described shortcomings of the technology (discrimination, false recognition), but especially because of the inhibiting effects on democratic processes (e.g. public rallies) and the diversity of our society (creativity, self-expression), we consider the damage caused by such biometric mass surveillance to be greater than the possible benefit. The same applies to the use of facial recognition in quasi-public contexts (which include football stadiums, train stations, shopping malls, among others) as long as the laws regarding data storage and re-use are not defined.

Face recognition is a form of biometric data processing. It involves comparing an image of a face with one or more other images. A similarity measure is calculated for each reference image. If this value exceeds a predefined threshold, the images are considered to belong to the same person.

 

Mass surveillance using biometric technologies

Data collected about us, with or without our consent, already leads to the ability to predict and manipulate our behavior, mostly as consumers. Using biometric tracking, facial recognition operators know who has been where (and with whom) and when. This multiplies the power that private or public organizations gain. Facial recognition applications are particularly problematic because they take place unnoticed. The possibility for ‘opt-in’ or ‘opt-out’ is not given.

In general, three broad application types of face recognition can be distinguished. Verification involves comparing the current image with exactly one other (1:1 match). A typical example is authentication (smartphone unlocking, access control) and identity verification. In identification, an image of an initially unknown person is compared with images of several persons whose identity is known, with the aim of determining the identity of the person in the current image (1:n match). Identification has the greatest potential for misuse and is therefore the focus here. Classification ranges from determining whether an image contains a person at all (e.g., counting people) to (scientifically questionable) sentiment recognition.

 

Ban versus moratorium

Not only the shortcomings of the current technology, which can lead to discrimination, false suspicion, and even unjust decisions, argue for banning facial recognition for mass surveillance in public spaces.  We estimate the fundamental potential for harm to be so great that even improved technology will not be able to solve the problem of data handling. Therefore, facial recognition with the potential for mass surveillance should be permanently banned.

Democratic process and evolution

Permanent area-wide observation inhibits the willingness to participate in social and opinion-forming processes and leads to  conformist thinking and compliant behavior. This contradicts our democracy and our values and is an attack on freedom of expression and human dignity. In addition, mass surveillance impairs diversity, creativity and our opportunities for development.

Misuse and unauthorized use of biometric data

Without banning or at least regulating facial recognition, the door is opened to the misuse of biometric data. Police officers and other state employees can, for example, identify political dissenters by means of facial recognition and subsequently stalk or mob them (see e.g. NSU 2.0 in Germany).

Also vulnerable to misuse are image databases at private companies such as ClearView and PimEyes, which allow people to be identified from an image or to perform a reverse search using facial images.

What can SI members do? – Sign petitions to ban facial recognition for mass surveillance (e.g. ReclaimYourFace.eu, see below); – Bring examples of facial recognition applications in Switzerland to our attention!

 

References and further information

 

IT & Society
About IT & Society 2 Articles
The main aim of SI’s Department of Informatics and Society is to promote the interdisciplinary dialogue between technology and social sciences on computer science, to uncover interactions and to discuss the effects on society. Another important goal is the pursuit of professionalism in the computer science industry. The whole spectrum of ethical, philosophical, socio-cultural and education-political questions up to concrete questions of economic, legal and work-organizational nature shall be discussed.

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