A critique of contemporary AI art.

Not only we need cultural artifacts as a critique of industrialized use of Artificial Intelligence, but also a strict criteria in order to review contemporary art made with Machine Learning techniques… Those that argue against the potential for Computational Creativity believe that “simulating artistic techniques means also simulating human thinking and reasoning” (…) and  conclude that “this […]

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Computational Aesthetics: the beholder needs eyes?

Computational aesthetics is a subfield of Artificial Intelligence, concerned with the computational assessment of beauty in domains of human creative expression  which bridges science and art. As an emerging and new interdisciplinary field, the seed of today’s Computational Aesthetics can be traced as far back as 1928, when American mathematician George David Birkhoff proposed the […]

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Art is Dead!?!

“In my own version of the idea of ‘what art wants,’ the end and fulfillment of the history of art is the philosophical understanding of what art is, an understanding that is achieved in the way that understanding in each of our lives is achieved, namely, from the mistakes we make, the false paths we […]

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Hacking Public Space.

Cities and urban spaces of our western metropolitan areas are fertile grounds for street skating unconsciously created by the excesses of industrialization and corporate capitalism. This new kind of dystopia turned in the 70s into a set of ideal playgrounds for a group of kids riding a piece of wood with four wheels. Following what feminist cinematographer […]

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Autonomous Artificial Artists.

The question of to what degree algorithms are tools, as opposed to active collaborators, is a very interesting debate in which the artists can contribute interesting reflections. Fanboys of Frankfurt School of critical theory may argue -in a clear romantic stance- that modern means of artistic production and reproduction like photography and video destroyed the […]

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Machine Learning as Art Practice.

Recently I wrote about Generative Adversarial Networks, a revolutionary class of AI algorithms used in unsupervised Machine Learning, and their importat relation with the research in Computational Creativity. This type of framework for the design of Artificial Intelligences was invented by Ian Goodfellow in 2014. The system consist of one network that generates new data after learning from a training […]

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