Select Recognition

• Best Art Paper Award, SIGGRAPH, 2024
• BCS Futures Award, Lumen Prize, 2023
• STARTS Prize (European Union), 2023

Google Scholar

Gaëtan Robillard is an artist, designer, and researcher whose work has been exhibited internationally and recognized with multiple awards. He was a postdoctoral researcher in AI and digital humanities with the international research group Arcanes at Université de Montréal from 2023 to 2024, following the completion of his Ph.D. in 2022 in aesthetics, art sciences, and technology at Université Paris 8 within the INREV research center. His research and publications focus on computer art, artificial intelligence, and generative media. His artistic research engages with themes of cognition, climate, and misinformation, notably through generative environments such as Critical Climate Machine. He has exhibited at prominent venues including the Palais de Tokyo (Paris), ZKM Center for Art and Media (Karlsruhe), Akbank Sanat (Istanbul), and the Hessel Museum of Art (New York), among others. His research and creative work have received international recognition, with awards including the Best Art Paper Award (SIGGRAPH, 2024), the BCS Futures Award (Lumen Prize, 2023), and the STARTS Prize (European Union, 2023). Robillard has taught for over a decade at ESIEE Paris (Université Gustave Eiffel) and more recently at the École Supérieure d’Art Pays Basque in France. His teaching spans algorithmic aesthetics, artificial intelligence in art and design, data design, creative coding, and media theory.

Selected Publications

• Robillard, G. (2025). Computer Art, Strange Design and Generative Media. In IAGAN: Generative Art (Architecture, Design and Mathematics) (Alain Lioret). Université Paris 8.
• Robillard, G. (2025). Médias génératifs et régimes d’authenticité : Vers une nouvelle littéracie informationnelle. In Stratégies de tromperie et puissances du faux dans les arts trompeurs et l’écosystème socionumérique contemporain (Fabien Richert, Jean-Marc Larrue et Renée Bourassa). Presses de l’Université de Montréal.
• Robillard, G., & Nika, J. (2024). Critical Climate Machine: A Visual and Musical Exploration of Climate Misinformation through Machine Learning. Proc. ACM Comput. Graph. Interact. Tech., 7(4), 56:1-56:11. https://doi.org/10.1145/3664215
• Robillard, G. (2024). Trois Lignes: Geometries and Colours Seen Through a Generative Adversarial Network. Azimuts - Design Art Recherche. Use of artificial intelligence in art and design (digital version), 58.
• Robillard, G. (2023). Le Jeu de la réfutation : (Re)médiation du climat à travers un environnement génératif. Intermédialités : histoire et théorie des arts, des lettres et des techniques / Intermediality: History and Theory of the Arts, Literature and Technologies, 42, 1–14. https://doi.org/10.7202/1109853ar
• Robillard, G. (2023). Modèles d’intelligence artificielle et régimes d’authenticité : dossier thématique. Groupe international de recherche Arcanes. https://edisem.arcanes.ca/omk/s/miara
• Robillard, G., & Lioret, A. (2023). Generic Images (index, generate, learn): An Educational and Generative Experience in Software. In Artware 8 (Umberto Roncoroni). Britànico Cultural.
• Robillard, G. (2022). Des algorithmes à l’œuvre : Naissance du Computer Art et environnements génératifs. Université Paris 8.
• Robillard, G., & Goulin, J. (2022). Critical Climate Machine Software. ZKM/Hertz-Lab. https://git.zkm.de/Hertz-Lab/Research/intelligent-museum/residencies/gaetan-robillard/critical-climate-machine