An antidisciplinary approach to AI art.

According to architect Neri Oxman the antidisciplinary hypothesis states that knowledge can no longer be produced within disciplinary boundaries, but is entirely entangled.

According to Joichi Ito, director of MIT Media Lab, by picking up where cybernetics left off and by redirecting the development of modern design and science to an antidisciplinary approach a new kind of knowledge production must emerge. Communication protocols between and across disciplines are necessary today for the advancement of research and production of new knowledge.

From this point of view we can assure that Computational Aesthetics, a subfield of Artificial Intelligence, concerned with the computational assessment of beauty in domains of human creative expression, can be conceived as an antidisciplinary field since it bridges science and art. The production and use of technologies as an extension of the human condition has helped us not only to dominate our natural environment, but to know ourselves better as a biological species. Therefore research both in Artificial Intelligence and Art are fertile fields to generate new forms of  knowledge, as well as for the production of innovative artifacts that serve as an epistemic extension for augmenting human intellect.

The results of Artificial Intelligence have been invaluable to biologists, psychologists, linguists and now to artist in helping to understand the processes of memory, learning, language and creativity from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. For example computer scientists Kang Zhang, Stuart Harrell and Xin Ji argue that visual arts and computer technology could complement and assist each other in this new and emerging interdisciplinary area known as Computational Aesthetics by bridging computer science, philosophy, cognitive science and the fine arts through analytic and synthetic investigation .

In her text “Krebs Cycle of Creativity” Neri Oxman argues that if “nature” is described as “anything that supports life,” and if life “cannot be sustained without culture,” the two belief systems collapse into singularity. In this singularity, Nature claims the infrastructure of civilization and, equally so, culture now enables the design of Nature herself. So as we can see, research in Artificial Intelligence can be help us generate new forms of scientific knowledge about the world around us and also iteratively change our surroundings.

Finally we can affirm that the current deployment of Deep Learning algorithms in the art world today may be seen as the ultimate “Gesamtkunstwerk” or total artwork; because designing artificial systems that are not only products or tools but collaborators (or even artistic creators!) can help us reevaluate our preconceptions of what artistry is, which finally may help us better understand what makes us humans unique and what is our place in the universe


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