Vera Van Der Burg’s Text-To-Clay Project Uses Ai to Generate Ceramic Forms
Amy Duong — February 3, 2026 — Art & Design
References: dezeen & veravanderburg.nl
The Text-to-Clay project by Vera van der Burg explores the intersection of artificial intelligence and traditional ceramic practice through a circular process that moves between language, data, and material outcomes. Over a residency period, van der Burg trained a custom AI model on an annotated dataset of her earlier ceramic works, using emotional and descriptive phrases such as “ceramic sadness” to generate novel sculptural forms. These AI outputs were then translated back into physical clay forms, creating pieces and images that document the dialogue between algorithmic suggestion and hands-on making.
This process highlights the material unpredictability of clay alongside the generative capacity of machine learning models trained on subjective creative work. High-gloss metallic elements appear in some of the resulting forms, contrasting with the tactile and variable surface qualities of the clay composites. The project also incorporated display elements showing stages of material production, with pendant lights arranged over pedestals holding raw shell fragments and framed samples of the base material.
Image Credit: Vera van der Burg
This process highlights the material unpredictability of clay alongside the generative capacity of machine learning models trained on subjective creative work. High-gloss metallic elements appear in some of the resulting forms, contrasting with the tactile and variable surface qualities of the clay composites. The project also incorporated display elements showing stages of material production, with pendant lights arranged over pedestals holding raw shell fragments and framed samples of the base material.
Image Credit: Vera van der Burg
Trend Themes
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AI-enhanced Creativity — AI-driven tools are redefining traditional creative practices by merging algorithmic precision with artistic intuition, offering innovative paths for artistic expression.
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Text-to-visual Innovations — New advancements in text-to-visual technologies are allowing artists to convert abstract concepts into tangible art pieces, bridging the gap between language and visual art.
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Emotive Data-driven Art — By analyzing emotional and descriptive data, artists can use AI to develop emotive art that resonates on a deep sensory level with audiences.
Industry Implications
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Art and Technology Integration — The fusion of technology with traditional art forms is shaping a new industry where digital tools and materials coalesce to inspire unique creations.
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AI-based Design Platforms — Emerging platforms are harnessing AI to assist designers in generating new forms and patterns, revolutionizing the design landscape across various art forms.
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Ceramic Manufacturing Innovation — AI is introducing novel techniques in ceramic production, enabling more intricate and customized designs that expand the possibilities in modern ceramic artistry.
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