Anthony Masure

Date

octobre 2021

Type

Contexte

Conférence dans le cadre du cycle « Design experiences », Prague, Department of Design, FA ČVUT. Version anglaise retravaillée d’une communication donnée à l’Esad Reims en avril 2021.

Résumé

Neural artificial intelligences (AI) have been finding their place in creative industries for several years. While deep learning technologies are most often considered from the perspective of automation, we propose to consider them also from the perspective of the concept of mechanization to emphasize the possibility of working “with” machines rather than surrendering their potentialities to economic forces. How might design contribute to defusing the dominant AI culture? How can we ensure that deep learning technologies can open up to invention and curiosity? How could (or should) design curricula be reconfigured?

Notions

• Automatisation,
• Bifurcation,
• Deep learning,
• Économie,
• Effacité,
• IA,
• Intelligence artificielle,
• Machine learning,
• Mécanisation,
• Promesse,
• Rentabilité,
• Standardisation,
• Technique,
• Technologie,

Personnes citées

• Bastide Raphaël,
• Giedion Siegfried,
• Gropius Walter,
• Huyghe Pierre-Damien,
• Crawford Kate,
• Joler Vladan,

Objets mentionnés

• Adobe Sensei,
• Anatomy of an AI System,
• Autodesk Netfabb,
• Back Office,
• Balenciaga AI,
• Be Arielle F,
• Botto,
• Camera Restrica,
• Generative Adversarial Network,
• Google DeepMind AlphaGo,
• GPT-3,
• IBM Deep Blue,
• Labor of Sleep,
• Made in Machina/e,
• Of Machines Learning to See Lemon,
• Predictive Art Bot,
• Repeat After Me. Hommage to the Human Voice,
• SOMEONE. Human home intelligence at scale,
• TheGrid.io,
• The Next Rembrandt,
• Thinking Machines,
• Through Other Eyes,
• Twins,
• Vampyroteuthis infernalis,
• Wix ADI,
• X Degrees of Separation,
• Zalando,

Médias

• Iframe,
• Reveal,