Design and machine learning: automation in power?
November 2021 to June 2022
Leading institution: HEAD – Genève
Applicant and project leader: Anthony Masure
Project team: Alexia Mathieu, Douglas Edric Stanley
Project partner: Yaniv Benhamou, UNIGE
Financing: HES-SO Transition numérique et enjeux sociétaux
Co-financing: HEAD – Genève
Key words: Automatisation, Creation, Deep Learning, Design, AI, Tool, Machine Learning, Programming
Artificial Design: Creation Versus Machine Learning
Audiobook "Design sous artifice: la création au risque du machine learning", Anthony Masure, 2023
"Artificial design: Creation Versus Marchine Learning", Anthony Masure, Collection Manifestes 5, Head - Publishing
Elise Gay & Kevin Donnot (E+K, Paris) "Davinci’s Insights" seminar "Actualité de la recherche" 04.10.2023
Subject to numerous technical and epistemological controversies, machine learning technologies have been finding their place in the creative industries for several years and reconfiguring design practices. But how can the automation inherent in digital technologies be redirected on a smaller scale, in a controlled and "tailor-made" way? How can machine learning be made to open up invention and curiosity? To answer these questions, we will focus on the field of graphic design in a research-creation perspective: the material collected (surveys and interviews) will serve as an anchor for the production of a semi-functional prototype with an obvious character.
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