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 […]Read More A critique of contemporary AI art.
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 […]Read More Computational Aesthetics: the beholder needs eyes?
Although some people see AI as a simply tool that artists can use to augment and enhance their pieces, some other as me consider algorithms as a partner during the creative process. Artisans may have thought that there was no avenue for machines to take over their ethereal reins since something soulless and emotionless do […]Read More Artificial Intelligence: a revolution in the art world.
“Arts-based research” means that the investigator uses his own artistic expression as means of enquiry (“artistic knowing”) or as an action-oriented research that aims a “change through art”. This type of exploration carried out by artists, designers, curators, architects, writers and musicians contributes new concepts, methods and models in order to produce new and original […]Read More Machine Learning Art as Scientific Research.
“This is a cycle. The only difference with what we have been seeing throughout human history is that now, machines are coming after people with college degrees, political influence, and Twitter accounts. (…) Let’s look at this historical process. Machines that replace manual labor, they have allowed us to focus on developing our minds. More […]Read More Machines are coming after people with college degrees.
Edmond de Belamy is a 2018 painting created using a type of Artificial Intelligence algorithms called Generative Adversarial Networks. The work which is part of a series of images titled La Famille de Belamy -made by french collective Obvious– was expected to be sold for $7,000-$10,000 at Christie’s auction house in New York, however the painting […]Read More Who is Edmond de Bellamy?
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 […]Read More Machine Learning as Art Practice.