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.
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.
Intelligent Artifacts may be found in literature since Greek mythology but only after World War II, when modern computers became available, it has become possible to create programs that perform difficult intellectual tasks. Artificial Intelligence is over half a century old and for a very long time it was dominated by rule-based systems, a field […]Read More Artificial Intelligence Tribalism.
The emergent field of Neuroscience and Creativity studies has experienced a great boom in recent years. For many people -influenced by the perspectives of 19th century Romanticism– creativity remains an unattainable mystery for science (Boden, 2013). However, currently the focus of cognitive neuroscience has renewed the study of creative processes and our ability to realize novel […]Read More Creative State of Mind.