Testing Ground treats landscape as an experimental site — an environmental laboratory where materials, perception, memory, and computation converge. Rather than depicting fixed places, the works unfold in hybrid terrains shaped by inference and design. Each image functions as a testing surface where relationships with environment can be explored and reimagined.
The series emerges from sustained work with generative systems guided through iterative cycles of adjustment and response. This exchange mirrors how humans shape environments while environments develop their own patterns in return.
Each work operates as both observation and inquiry. The notion of “ground” functions as layered substrate: physical terrain, image surface, and computational base. Together they form an experimental ecology in which natural and synthetic processes interact.
Landscape thus becomes a thinking tool — structured yet open, familiar yet reconfigured — inviting reflection on how environments shape imagination, orientation, and possibility.
Kevin Abosch (born 1969) is an Irish conceptual artist recognised as a pioneer of digital and AI-driven art. Working across photography, blockchain, and machine learning, he has spent over three decades examining identity, authorship, and value in the context of technological change.
He began experimenting with AI-based art in 1992, placing him among the earliest serious practitioners in a fine-art context. Since the mid-2010s, Abosch has incorporated GANs, biometric data, and blockchain systems, treating machine learning as a creative collaborator. Projects such as IAMA Coin (2018) explored identity as technological and economic construct.
His work has been exhibited internationally, including at the State Hermitage Museum, the National Museum of China, the National Gallery of Ireland, Jeu de Paume, the Irish Museum of Modern Art, the Bogotá Museum of Modern Art, and ZKM Karlsruhe. He remains a key figure in the development of AI-based contemporary art.