Generative AI - Within one body there are millions
© HEAD – Genève, Sabrina Calvo, Douglas Edric Stanley
BLOW/FLASH
© HEAD – Genève, Huiwen Zang
Within one body there are millions
© HEAD – Genève, Sabrina Calvo, Douglas Edric Stanley
Within one body there are millions
© HEAD – Genève, Sabrina Calvo, Douglas Edric Stanley
CHILAI DREAM
© HEAD – Genève, Mariia Gulkova
BestOfWeirdContext.AI
© HEAD – Genève, Dorian Jovanovic
oroscope
© HEAD – Genève, Michelle Ponti
Within one body there are millions
© HEAD – Genève, Sabrina Calvo, Douglas Edric Stanley
Pyle_MAL_activist-rap.txt
© HEAD – Genève, Tomislav Levak
Within one body there are millions
© HEAD – Genève, Sabrina Calvo, Douglas Edric Stanley
gregor
© HEAD – Genève, Faustine Périllaud
Through Dreams, I Found Streams
© HEAD – Genève, Narges Hamidi Madani
WorldOfAfterWorkWork
© Amaury Hamon
Silk Pillow
© HEAD – Genève, Léonie Courbat
Within one body there are millions
© HEAD – Genève, Sabrina Calvo, Douglas Edric Stanley

Within one body there are millions

June 2023

How can we re-appropriate and turn synthetic text-generation softwares into powerful tools for change and activism through arts and design methodologies and explorations?

As the world loses its mind with the arrival of powerful AI mimicry chatbots, the Master Media Design department organised this one week workshop to help participants take a step back, explore at how such synthetic text generators work, how they are initially trained and how they can be reinvested using new bespoke datasets. Moving beyond the fear and the hype of these new technologies, participants were asked to collectively reflect and explore how these algorithms convey biases from their creators; biases that are located at the level of their datasets these technologies have been trained on. Then, the workshop invited participants to freely explore through hands-on techniques - using large sheets of paper, pen, scissors - how these technologies can be retrained and actively reappropriated for the making of textual outputs that are more representative of ourselves and identities.

 

A selection of these textual outputs is accessible here.

 

Students:
Léonie Courbat
Marine Faroud-Boget
Flore Garcia
Mariia Gulkova
Narges Hamidi Madani
Amaury Hamon
Margot Herbelin
Elie Hofer
Dorian Jovanovic
Tomislav Levak
Louka Najjar
Camilo Palacio 
Faustine Périllaud
Michelle Ponti
Hanieh Rashid
Tibor Udvari
Nathan Zweifel
Huiwen Zang

 

Teachers:
Sabrina Calvo, Douglas Edric Stanley

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