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Wekinator (machine learning): Rebecca Fiebrink, Joanne Ermitage, Helen Pritchard
Saturday 1 Dec 11am- 6pm| £50 (limited places) BUY TICKETS
In this workshop, we will engage in hands-on activities that challenge many prevalent narratives around machine learning— for instance, that it is impersonal, objective, inexpressive, and usable only by experts. We will explore different sources of data that reflect algorithmic visions of participants (for instance, data scraped from social media profiles), as well as participants’ own visions of the world, including queer and feminist possibilities (through data participants create on the spot with text, images, or sound).
We will experiment with novice-friendly tools for applying machine learning to this data, creating new works of art, designing new interactions with data, and constructing new perspectives on what machine learning is “good for” and how to use (and misuse) it.
Dr.Rebecca Fiebrink is a Senior Lecturer at Goldsmiths University of London, where she explores the use of machine learning in creative practice. She is the creator of the Wekinator, popular open-source machine learning software that has been downloaded by over
10,000 musicians, artists, students, and other creative users. She has taught hundreds of creative students about machine learning at Goldsmiths, in an online class on Kadenze, and in dozens of workshops around the world.
Dr. Helen Pritchard is an artist and lecturer at Goldsmiths, University of London where she is the head of Digital Arts Computing. Central to Helen’s work is the consideration of co-research, participation, and queer environmental practice. Helen’s practice often
emerges as workshops, collaborative events and computational art. Since 2013 Helen has been a member of the environmental collective Citizen Sense. As an artist Helen has shown work internationally including Tate Exchange (UK), transmediale (Germany), DA
Fest International festival of Digital Art, (Bulgaria), Spacex (UK), Microwave Festival (Hong Kong), ACA Florida, (USA), Arnolfini Online (UK)
Dr Joanne Armitage lectures in digital media at the University of Leeds and her practice-research encompasses area including physical computing, science and technology studies and computer music. She is also notable for her practice in live coded music, as one
half of the live coding duo ALGOBABEZ with Shelly Knotts, associated with the Algorave movement and as a member of the laptop collective OFFAL. She recently won the British Science Association’s Daphne Oram Award for Digital Innovation and is part of the Sound
and Music’s Composer-Curator programme for 2018.