Anthony Masure

chercheur en design

Personne mentionnée :
« Allison Karmel »

Conferences

Automation Takes Command. How to Shape Deep Learning AIs?

Date

March 2021

Type

Conférence

Contexte

Communication au colloque « Deep City: Climate Crisis, Democracy and the Digital », Lausanne, EPFL, 25 mars 2021

Résumé

Deep learning artificial intelligence (AIs) works by comparing and aligning “raw” or “labeled” data sets. This mimetic paradigm (remix of “data sets”) makes it difficult to discern “generated” copy of original. Therefore, the question of acceptance of a world shaped by AIs arises less in terms of replacement than in terms of recovery: an environment in which one could not distinguish what is produced, or not, with AIs. Another challenge, with the demand of ecological sobriety, is the increase of algorithmic rationality with generated shapes optimized to structural constraints. What about social and aesthetic dimensions of shaping? How can AIs be open to invention and curiosity?