Creation : SUZANNE

Directors : Lorenz Jack CHAILLAT-CAVAILLÉ, Julien CHAUDET, Julien DERANSY, Grégoire FRANÇOIS & Eurydice GOUGEON-MARINE 

Performers : Lorenz Jack CHAILLAT-CAVAILLÉ, Julien CHAUDET, Jean DELAHAYE, Julien DERANSY, Mélina FERNÉ, Grégoire FRANÇOIS, Eurydice GOUGEON-MARINE, Mélissa LALANNE, Julia LEBLANC LACOSTE, Marina SANGRA, Eva STUDZINSKI & Camille VOYENNE

Algorithmic and programming consultant : Alexis GUYOT

Sound technician : Matias ELICHABEHERE

Photography : Antoine GRÉDAI

Creation : SUZANNE

Directors : Lorenz Jack CHAILLAT-CAVAILLÉ, Julien CHAUDET, Julien DERANSY, Grégoire FRANÇOIS & Eurydice GOUGEON-MARINE 

Performers : Lorenz Jack CHAILLAT-CAVAILLÉ, Julien CHAUDET, Jean DELAHAYE, Julien DERANSY, Mélina FERNÉ, Grégoire FRANÇOIS, Eurydice GOUGEON-MARINE, Mélissa LALANNE, Julia LEBLANC LACOSTE, Marina SANGRA, Eva STUDZINSKI & Camille VOYENNE

Algorithmic and programming consultant : Alexis GUYOT

Sound technician : Matias ELICHABEHERE

Photography : Antoine GRÉDAI

STATU

Just like SUZANNE, you regularly scroll through your Facebook feed, you do a couple of Google searches a day whilst listening to your Spotify-recommended playlist. Also like SUZANNE, you’re looking for the shortest way to get to your meeting only to be interrupted by an alert from your favorite app or a text advertisement from the website on which you made a purchase two days ago. And just like SUZANNE, you are fully aware that every single piece of information that ensues from those actions do not occur by chance.

 

Internet browsers, social media, stock markets, video games, autopilot, smart homes, streaming and downloading platforms, apps of all kinds… The digital world is today partly ran by algorithms, i.e sets of automated operatoring rules.

 

Used in a computing context, this calculation method becomes an extension of human logic through which choices and decisions are eased or even predetermined, leaving no space for chance or the unexpected. However, if the performance of algorithmic programs far exceeds that of humans in terms of speed and reliability, their execution follows a very human-like data processing protocol.

 

SUZANNE addresses the differences opposing human beings, with their physical and mental limitations, to this human-made technological system that claims to be perfect and infallible, and tends to assess human beings and their capacity of success, failure and “bug” through an algorithmic simulation protocol.

STATU TEASER

ALGORITHM

import random
import pandas as pd

 

TABLEAU = pd.DataFrame([
{‘C’: ‘Mettre une boucle d’’oreille’,    ‘B’: ‘Toucher ses seins’,                             ‘A’: ‘Coucou de loin’},
{‘C’: ‘Réajuster sa cravate’,               ‘B’: ‘Remettre ses couilles en place’,     ‘A’: ‘Poignée de main’},
{‘C’: ‘Regarder sa montre’,                ‘B’: ‘Se gratter’,                                            ‘A’: ‘Bise’},
{‘C’: ‘Mettre des collants’,                  ‘B’: ‘Regarder son cul dans le miroir’,    ‘A’: ‘Accolade’},
{‘C’: ‘Selfie’,                                            ‘B’: ‘Regarder ses mains’,                         ‘A’: ‘Check’}])

 

def algo(TABLEAU) :

a = random.randint(0,4)
b = random.randint(0,4)
c = (min(a,b) + 4) % 5
k = random.randint(0,2)
i = 0
geste = TABLEAU.loc[(a+0)%5][k]
print(“1er geste :”,geste)
geste = TABLEAU.loc[(b+0)%5][(k+1)%3]
print(“2ème geste :”,geste)
while True:

geste = TABLEAU.loc[(a+i)%5][k]
if geste != ‘Erreur’:

print(geste)

else:

print(‘Erreur’)

break

geste = TABLEAU.loc[(b+i)%5][(k+1)%3]

if geste != ‘Erreur’:

print(geste)

else:

print(‘Erreur’)

break

geste = TABLEAU.loc[(c+i)%5][(k+2)%3]

if geste != ‘Erreur’:

print(geste)

else:

print(‘Erreur’)

break

i+=1

INTERVIEW

With Alexis GUYOT - Data Scientist and programming consultant for STATU project.

Alexis, you have worked as the algorithm consultant on the STATU project. What caught your attention in this project ?

 

Humans have created algorithms so that machines can execute with perfection a huge amount of tasks and operations. For instance, the simulations of asteroid trajectories, that computers process in real time in order to anticipate potential disasters, would take thousands of years to be completed by Humans. Therefore, the execution of algorithms by Humans is an idea that seems absurd and actually never crossed my mind.

 

When SUZANNE talked to me about this project, I was curious about two things : the psychological effect of such an absurd execution on the human mind, and the result of that execution (meaning the beauty and the ability of the brain to perform this task).

 

Tell us how you collaborated with SUZANNE ?

 

The goal was to design an algorithm, or a rule of gestures that can be both simple enough to be executed by a human, and complex enough to let the humain brain make mistakes. In particular, the algorithm needed randomness so the humain brain would not learn and get used to that rule.

 

STATU is then Science at the service of Art. Through this project and to your opinion, what does Art bring in return to the technological field, and to the image that it carries ?

 

As I work around artificial intelligence, I stay aware of the ethical usage of these technologies. But these are very conceptual questions, they are not very tangible

STATU helped me address the question of Human facing technology in a grounded way. In this performance, humans have sensitivity, they feel, they are subject to emotions that negatively interfere with the execution of an automatic task. The integration of an element (the algorithm) that is astranged to a human soul, provokes a state of suffer and constraint that is not natural to it.

 

I think this state is both a metaphore and a empirical demonstration of the consequences of the massive assimilation of technologies in our societies. Whether you look at your phone automatically in the metro or when you wake up, or when you talk to connected speakers, or when you interact with a chatbot, or when you follow recommandations on a streaming platform, all these actions have become a simple automatism, taken for granted in our everyday lives, and still, we forgot how we used to live without it before.

 

To your opinion, what is the most beautiful way of executing an algorithm : with a machine or a human ?

 

In most people’s mind, the perfect execution of an algorithm is just a basic requirement so we can use the services it provides As a Data Scientist, when I spend a lot of time researching and developping an algorithm, after many tests and roll backs, it is such a pleasure to see it being executed with perfection by a machine. I see in it the achievement of the humain brain power.

 

However, when the performers in STATU executed the algorithm, the errors did not appear to me a sign of failure or imperfection, but they were beautiful to watch. These errors sublimated their souls because it made them humble. Usually, the human being tends to position himself above all the other living creatures, because he is the one that can extract and conceptualise the biggest amount of knowledge from his environment. He thinks he can touch the Truth with Science. So when you see humility in errors, it is a beautiful way of executing an algorithm.

STATU

is

JEAN DELAHAYE
JEAN DELAHAYE
EURYDICE GOUGEON-MARINE
EURYDICE GOUGEON-MARINE
JULIEN DERANSY
JULIEN DERANSY
MÉLINA FERNÉ
MÉLINA FERNÉ
LORENZ JACK CHAILLAT-CAVAILLÉ
LORENZ JACK CHAILLAT-CAVAILLÉ
MARINA SANGRÀ
MARINA SANGRÀ
GRÉGOIRE FRANÇOIS
GRÉGOIRE FRANÇOIS
EVA STUDZINSKI
EVA STUDZINSKI
JULIEN CHAUDET
JULIEN CHAUDET

and :

 

JULIA LEBLANC-LACOSTE

 

MÉLISSA LALANNE

 

&

 

CAMILLE VOYENNE

STATU

in pictures

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