Recognition: from Latin re- “again” and cognoscere “know”. To know again and again, because you’ve already known before.

Something can be recognized because it is familiar,
a problem may be recognized ~ acknowledged,
somebody may be recognized because they are already known,
somebody may also be recognized for what they are.

Ann Demeulemeester / Fall-Winter 2011
Ann Demeulemeester / Fall-Winter 2011

One could assume that a lot of people actually do want to be recognized, either because they are familiar, or because they are already known, or just because they are what they are. To be recognized in one’s professional field. To be recognized by colleagues. To be recognized by society. And so on.

However, a quick analysis of collective subconscious yields slightly different results:

Average searches on Google for terms that include "recognition"
Average searches on Google for terms that include “recognition”

“Pattern recognition”

“Facial recognition”

“Recognition apps”

“Voice recognition”

[…]

The collective subconscious has transcended its own vanity inclinations
and is now busy outsourcing its cognitive capacities to machines.

The people will now be recognized on the screens.

To be known again through the artificial means.

“This kind of interplay
    is easy to forget
    but important to remember
when one becomes engrossed
in the details
    of a specific problem.

For a successful pattern recognizer
    is the one who has matched
    his or her particular data
to an algorithmic technique.”

– claims one of the most recognized studies on pattern recognition (*).

/to be recognized for developing the best recognition software on the market/

Facebook facial recognition
Facebook facial recognition

“The fuzzy set was conceived
    as a result of an attempt
    to come to grips
with the problem of pattern recognition
    in the context
    of imprecisely defined
categories.

In such cases,
    the belonging of an object
    to a class
    is a matter of degree,
as is the question of whether or not a group of objects form a cluster.”

To be recognized by an algorithm.

To belong to a class,
a group of objects,
a cluster.

For something can only be recognized
when it belongs to a certain category
that already exists.

Therefore, in this world, to be recognized for what you are
    really
is to not be recognized at all.

 

Adam Harvey / CV Dazzle project / anti CCTV face recognition camouflage
Adam Harvey / CV Dazzle project / anti CCTV face recognition camouflage

 

Resonant Standing Waves in Surma Body Art / http://www.human-resonance.org/surma.html
Resonant Standing Waves in Surma Body Art / http://www.human-resonance.org/surma.html