As an independent scholar -heavily inspired by the epistemic autonomy of researchers like Charles Darwin- my main goal with my doctoral dissertation is to offer clues about the biological substrate of creativity and innovation by experimenting with Artificial Intelligence.
Right now (2019-20) I’m working with a set of Machine Learning algorithms in order to deploy an Intelligent Agent capable of “understanding” modern art and which is able not to only to “imagine”, but to make new paintings. By experimenting with this emerging technologies I also want to explore their cultural, political and aesthetic possibilities. The applied findings of this exploration may lead to the offering of new tools for different fields in the creative industries (design, architecture, fashion)…
This journey goes hand in hand with my master’s thesis titled “A Systems Neuroscience approach to Creativity: Machine Learning and Computational Aesthetics” (2020) and my doctoral dissertation named “Artificial Creativity in the Posthuman Age: centaurs, sirens, and unicorns in Contemporary Computer Art” (2021). These works explore contemporary art practices as a new way for scientific inquiry and investigate the relationship between artificial intelligence, open-source software, authorship, copyright, and synthetic imagination in the 21st century.
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