In his talk Andreas Refsgaard describes how machine learning has become an integrated part of the practice.
The talk will survey several playful projects actively seeking out unconventional connections between inputs and outputs using simple machine learning techniques. Games are controlled by making silly sounds, music is composed by drawing instruments on paper and algorithms are trained to decide what is funny, funky or boring. By enabling people to decide upon and train their own unique controls for a system the creative power shifts from the designer of the system to the person interacting with it. On the other hand machine learning algorithms are increasingly talking decisions on peoples behalves, and the talk will feature examples of artworks made by Andreas that take a more critical stance on this development.
Andreas is a regular contributor to ml4a, a free resource on machine learning for artists and regularly publishes videos, texts and tutorials in attempt to demystify machine learning and facilitate a greater public understanding of the subject.
His works have been published in New Scientist, awarded by Interaction Awards and Core77 and exhibited around the world. Commercially he has worked with international clients like Google Creative Labs, Carlsberg, Philips and IDEO.
May 24th, 2019, 5:30 pm to 6:30 pm
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