The seminal work Art in the Age of Machine Learning by Sofian Audry [Hexagram co-director and co-investigator, UQAM], originally published by MIT Press in 2021, has recently been translated into Chinese. This new release marks a significant milestone in the international dissemination of critical approaches to machine learning as an artistic medium.
A Rigorous and Accessible Analysis
Celebrated for its clarity and analytical depth, the book explores the conceptual, historical, and practical dimensions of integrating machine learning into contemporary art, music, and literature. At a time when generative artificial intelligence is reshaping creative practices and public discourse, this translation offers a broader readership access to a nuanced perspective grounded in research-creation and media art history.
An Analysis Rooted in the History of Media
Drawing on several years of interdisciplinary research, Audry’s work establishes connections between current technological developments and artistic traditions rooted in cybernetics, algorithmic systems, and adaptive art. It thus serves as an essential resource for artists, scholars, and curators critically engaging with emerging technologies.

Recognition within Research Communities
The book was previously highlighted on May 21, 2022, during the Rencontres interdisciplinaires organized by the Hexagram Network, in a roundtable discussion featuring Sofian Audry, Chris Salter (Sensing Machines, MIT Press, 2022), Erandy Vergara, Bart Simon, and Jhave. A recording of the discussion is available on YouTube.
The release of the Chinese edition opens new avenues for intercultural dialogue, fostering diverse perspectives and creative responses to the contemporary challenges situated at the intersection of artificial intelligence, art, and society.
Published on May 27, 2025
Cette publication est également disponible en : Français (French)