Face’s like a conflict field. Art versus recognition algorithms

Today, facial recognition is becoming an integral part of the digital infrastructure, from surveillance cameras to social media filters. A person ceases to be only in this way: it becomes a biometric code, a data unit, a means of identification. This changes not only the attitude towards privacy, but also the perception of visual identity itself. Attention to these changes is increasingly reflected in artistic and design practices: through distortion, disguise, or direct interference with algorithmic perception.

The study is based on visual material showing different approaches to dealing with the face, ranging from documentary images and screen shots to dramas, videos and clothing objects. All examples are selected in view of their visual uniqueness, so that each section opens up a new perspective. The first step is to look at the principles of algorithms and how they change the way people look at people. The focus is further shifted to artistic intervention: a person turned into camouflage or distortion. Selected chapters analyse design solutions that create «invisible» and initial work where surveillance becomes part of the action. The final question is why visual resistance is now becoming one of the key instruments for discussing power and identity.

The analysis is based not only on visual observations, but also on texts related to observation theory, digital media and modern visual culture. The authors' own statements — how they formulate the objectives of their projects, describe their personal motives or interact with the audience — are also taken into account. By comparing images, contexts, and artistic gestures, there is a general shift in the understanding of the person, from an open image to a space of conflict, intervention, and refusal to be recognized.

Today’s technology sees the face not as a portrait, but as a structure. Machine vision defines key points — eyes, nose, chin lines — and turns them into a numerical pattern. This person is no longer an individual, but a vector that can be compared to millions of others in the database [3].

Algorithms are used in various fields: street surveillance, phone unlocking, marketing systems, police. At the same time, the process itself remains invisible — a person does not always know that he has already been recognized. There’s a new feeling about being seen not by someone, but by something.

Algorithm errors are also significant. Systems are more likely to be wrong if the person is not white, not male, not average statistics. It’s not just bugs, it’s a reflection of built-in bias: models train on limited samples and reproduce social hierarchy [5].

Identification of faces is not only about identification, but also about power. It turns a face into a pass, an access filter, a statistical element. A person formerly associated with identity now becomes a digital identifier — out of context, out of human will. It is this attitude toward a person — as an object of analysis — that becomes the point of entry for artistic intervention. It is responded to by artists in an effort to destroy reading, make a failure, make a face unaffordable.

In response to machine reading, the person becomes a distortion area rather than a way. Visual resistance manifests itself in the fact that the usual elements of appearance — eyes, eyebrows, cheekbones — deliberately break, hide, and distort. Artists use makeup, masks, glitches, and even random shapes to get out of the field of the algorithm. It’s not just visual style, it’s a way to disappear.

Adam Harvey’s project [6] was one of the first loud attempts to «smack» the recognition algorithm. He proposes the use of non-standard hair and makeup — bright lines that overlap key points, asymmetrics, shiny or math fragments. This image confuses the algorithms by disrupting the predictable facial geometry.

The name itself refers to the reference to «Computer Vision» and «dazze Camouflage» [7], a cloaking technique used on warships in the 20th century [8]. Instead of hiding an object, the artist seeks to confuse the observer by visual distortions, sharp contrasts and fragmentation of the shape. This approach is being digitized, with a person becoming a ship and an observer becoming a machine.

That’s why there’s a non-standard jaw that closes your eyes and a geometric makeup that destroys the cheekbone line. Here, makeup is not an adornment, but an active technology to avoid recognition.

The artist Zach Blas [9] went a different way. His masks are collective faces: average 3D scans collected from a multitude of people. They are not individual; on the contrary, they are as common as possible. Their task is to hide a particular person behind a common form.

The project is directed against the very logic of biometrics, which believes that it is possible to extract digital truth from any body — fixed data available to machine analysis. Instead, the artist offers bodies and persons that cannot be considered: too collective, too anonymous, too weird for the algorithm. The mask, then, is not a defense, but an instrument for attacking the system.