Aksioma – Institute for Contemporary Art, Ljubljana, is proud to announce:

 

Kyriaki Goni

Counting Craters on the Moon

Solo exhibition

 

Curated by Daphne Dragona

 

Aksioma | Project Space

October 2–30, 2019

 

 <https://aksioma.org/counting.craters/> https://aksioma.org/counting.craters/

 

To a great extent, the understanding of the world today is mediated by 
machines. Deep learning algorithms define what we see or hear, and influence 
what we accept as real or possible. Based on the use of artificial neural 
networks, which are modelled after the human brain, machines now learn and act 
autonomously, exceeding the human capacity to memorise and process information. 
Trained to classify information, predict outcomes and cluster data, they are 
meant to free us from labour intensive activities, and to assist us in decision 
making. What challenges, though, does deep learning bring to human-based 
knowledge? What changes when machines self-learn? What do they see and do 
differently than humans? How can artificial intelligence enhance new forms of 
experience and understanding?

Wishing to address these questions, Kyriaki Goni purposely turns her gaze to a 
distant and uncanny territory: the Moon and its surface. The Moon, according to 
the artist, constitutes a fascinating example and offers an interesting 
analogy. Lacking an atmosphere, it operates as a data center which stores in 
its body the memory of our solar system and allows predictions for the future. 
The indicators for this chronology and evolution have been its craters, which 
for this reason have been closely examined by astronomers from the 17th century 
until today, based on the technological affordances of each period.

At its core, the project Counting Craters on the Moon presents an imaginary 
encounter between an astronomer and an AI system. Johann Friedrich Julius 
Schmidt (1825–1884), who dedicated his life to studying the moon with his 
telescope and drew the most accurate lunar map of his era, meets DeepMoon, a 
convolutional neural network (CNN) developed in 2018 to specifically identify 
lunar craters. Their dialogue is presented as a two-channel video, which 
captures the human-machine relationship and playfully tackles the hopes and 
fears, possibilities and limitations, achievements and errors, different ways 
of learning and knowing related to each side. Parts of this conversation take 
shape in the exhibition space, in the form of drawings, objects and archival 
material, which shed light on the real facts behind this fictional encounter. 
We see the portrait of the astronomer drawn by the artist and old newspaper 
articles which reveal a lonely life dedicated to science. A list of craters 
with the given names hints at the tasks which can only be performed by humans 
and not by machines. Samples of the dataset with images of the craters indicate 
how human and machine vision differ. A CNC marble sculpture of a crater 
manifests with its materiality the effects of a possible error as well as the 
potential it holds for further learning and improvement. The big, hand-drawn 
lunar map of Schmidt reveals the meticulous and passionate human observation, 
while the detection icons of pattern recognition imply the accuracy, efficiency 
and velocity of artificial intelligence systems. Finally, a hand-made drawing 
of a lunar crater by Goni after Schmidt’s map indicates her own positioning and 
methodology.
For the realisation of the project, Goni has herself become an observer and a 
“machine learner”. <https://aksioma.org/counting.craters/#_ftn1>  [1] She has 
placed herself in the shoes of the meticulous astronomer, on the one hand, and 
has attempted to inhabit, to impersonate an artificial intelligence system, on 
the other. Studying historical and contemporary scientific resources and having 
reached out to the scientific team behind DeepMoon, she has traversed and 
bridged the distance between human- and machine-based knowledge. Like in her 
previous works, in which she has studied the entanglements and relationships 
between users and interfaces, technological and living networks, human and 
more-than-human worlds, in Counting Craters on the Moon Goni passionately 
strives to reveal the synergies between human and artificial intelligence and 
to underline their interdependence. She is interested in the new languages, 
metaphors and aesthetics which emerge within these synergies, but also in the 
surprising continuities that can be found from past to present. Speculating 
upon what has been described as “augmented” 
<https://aksioma.org/counting.craters/#_ftn2>  [2] or “generative” 
<https://aksioma.org/counting.craters/#_ftn3>  [3] intelligence, she invites us 
to imagine how we can learn from and with machines in order to build different, 
multiple and, possibly, collective understandings of the surrounding world and 
its cosmos.

– Daphne Dragona

  _____  

 <https://aksioma.org/counting.craters/#_ftnref1> [1] Mackenzie uses the term 
“machine learner” for both humans and machines as well as their relationships, 
reminding us of the continuous effort of the human to understand how a machine 
learns. Adrian Mackenzie, Machine Learners: Archaeology of a Data Practice, 
(Cambridge, MA: The MIT Press, 2017), p. 6.

 <https://aksioma.org/counting.craters/#_ftnref2> [2] Pasquinelli underlines 
that machines do not show signs of “autonomous intelligence”. Any “super-human 
scale” of intelligence would only be acquired with the human observer, he notes 
and suggests the term “Augmented Intelligence”. Matteo Pasquinelli, “Machines 
that Morph Logic: Neural Networks and the Distorted Automation of Intelligence 
as Statistical Inference,” in Glass Bead, Site 1, November 2017, p. 15. 
https://www.glass-bead.org/article/machines-that-morph-logic/?lang=enview.

 <https://aksioma.org/counting.craters/#_ftnref3> [3] According to Bratton, 
artificial intelligence may augment any intelligence already existing in the 
world, on the planet. Benjamin Bratton, “Strelka Talks. Benjamin Bratton 
‘Alternative Models of AI (at Urban Scale),’” YouTube, video uploaded by 
Strelka Institute, 26 June 2019, https://www.youtube.com/watch?v=A3C31DhoPQ4. 

 

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Based in Athens, Greek artist Kyriaki Goni, creates extended multimedia 
installations focusing on the relations between technology and society. By 
utilising fiction and research, she investigates subjects such as human, 
non-human and machine interaction, data and privacy, perception and 
construction of the digital self. Her works have been exhibited in galleries 
and new media festivals worldwide: Museum of Contemporary Art Skopje, 
transmediale19, IMPAKT, Athens Biennial, Melbourne Triennial, Tomorrows, ADAF, 
ISEA21, SIGGRAPH2016, etc. She was recently selected for an art commission by 
the New Networked Normal ( <https://thennn.eu/events/networks-trust/> 
theNNN.eu). Following her practice, she also designs and conducts workshops for 
youth and adults, and presents her research on conferences and digital 
platforms. Her paper Deletion Process_Only you can see my history was published 
in Leonardo, Journal of Art, Science and Technology, MIT (August 2016). She 
completed a BA Hons in Visual Arts and an MA in Digital Arts at the Athens 
School of Fine Arts, as well as graduate and postgraduate studies in Social 
Anthropology at Panteion University (GR) and in Visual Anthropology at Leiden 
University (NL). See  <http://kyriakigoni.com/> http://kyriakigoni.com/.

 

Daphne Dragona is a curator and writer based in Berlin. Through her work, she 
engages with artistic practices, methodologies and pedagogies that challenge 
contemporary forms of power. She has been collaborating with transmediale 
festival since 2015. Her writing has been published in various books, journals, 
magazines and exhibition catalogues by the likes of Springer, Sternberg Press 
and Leonardo Electronic Almanac. Her talks  have been hosted at Mapping 
Festival (Geneva), MoMa (New York), Hek (Basel), Arts in Society (London), 
Leuphana University (Lueneburg) and Goethe University (Frankfurt). Among her 
curated – or co-curated – projects are the exhibitions: Tomorrows, Fictions 
spéculatives pour l’avenir méditerranéen (Le Lieu Unique, Nantes, 2019), “…” an 
archeology of silence in the digital age (Aksioma, Ljubljana, 2017), New 
Babylon Revisited (Goethe-Institut Athen, 2014), Afresh, a new generation of 
Greek artists (ΕΜSΤ, 2013), Mapping the Commons Athens (EMST, 2010), Homo 
Ludens Ludens (Laboral, 2008). She holds a PhD from the Faculty of 
Communication & Media Studies of the University of Athens. 

 

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Produced by Aksioma – Institute for Contemporary Art, Ljubljana, 2019

 

Supported by the Ministry of Culture of the Republic of Slovenia and the 
Municipality of Ljubljana.

 

 

Aksioma is:

Janez Janša / Artistic Director

Marcela Okretič / Producer

Sonja Grdina / Executive Producer

Jana Renée Wilcoxen / Development Specialist

Urška Barut / Public Relations

Valter Udovičić / Technician

 

 

 

 

Marcela Okretič

Aksioma | Institute for Contemporary Art, Ljubljana

Jakopičeva 11, 1000 Ljubljana, Slovenia

 

Aksioma | Project Space

Komenskega 18, 1000 Ljubljana, Slovenia

tel.: + 386 – (0)590 54360

gsm: + 386 – (0)41 – 250830

e-mail: marc...@aksioma.org

www.aksioma.org

 

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