I am an Athens-based visual artist, new media researcher, and Associate Professor at the Department of Audio and Visual Arts, Ionian University. My work and artistic research focus on XR experiences, algorithmic and AI-assisted art, 3D modeling, game art, experimental animation, sound design, digital scenography, projection mapping, and digital painting.
I am an Athens-based visual artist, new media researcher, and Associate Professor at the Department of Audio and Visual Arts, Ionian University. My work and artistic research focus on XR experiences, algorithmic and AI-assisted art, 3D modeling, game art, experimental animation, sound design, digital scenography, projection mapping, and digital painting.
Dimitris Agathopoulos
Visual Artist & New Media Researcher
I am an Athens-based visual artist, new media researcher, and Associate Professor at the Department of Audio and Visual Arts, Ionian University. My work and artistic research focus on XR experiences, algorithmic and AI-assisted art, 3D modeling, game art, experimental animation, sound design, digital scenography, projection mapping, and digital painting. Since 2019, I have been teaching 3D Design in the "Digital Arts" MA programme at the Athens School of Fine Arts, having also taught visual and digital media courses at the University of West Attica between 2019 and 2025.
Art and Artificial Intelligence as Cultural Condition
Derrida's theory of deconstruction found its way into art criticism early, becoming influential in poststructuralist and postmodern readings of contemporary culture. What it offered artists wasn't a style but a method: expose the texts, narratives, and representations that make up a way of life, then take apart the structures of meaning holding them together. Technology carries ideology. It carries ways of seeing, whether anyone notices or not. So when artists turned toward Artificial Intelligence, many weren't there simply to use a new tool. They entered it as a field of critical inquiry. The field became something to interrogate, and out of that came pressure for a discourse specific enough to match the moment, an era thick with research and invention aimed squarely at understanding what these technologies mean once art starts working on them.
Cognition itself has shifted under the weight of technological and industrial change. Artists haven't simply adjusted to that; they've refused to sit still for it. Observer, user, these are not roles they accept quietly. Some of the resulting work affirms the new media outright. Some of it pushes back hard against the speed of technological expansion. Either way, the artist is inside the process, shaping it, not standing outside watching it happen. Norbert Wiener's theories of communication, control, and feedback gave this involvement a vocabulary decades before AI became part of artistic practice. His ideas also helped establish a way of thinking about human and machine relations that would later become important to media artists. Cybernetics offered artists a language for thinking about systems, feedback, interaction, and the circulation of information.
Traditional media didn't resist the digital turn for long. Painting, sculpture, photography, video, all of them became increasingly entangled with computational processes. Sometimes an artist wants you to see the digital seams. Sometimes those seams are hidden so well the work looks untouched. The center of gravity in AI research sits elsewhere entirely, in systems built to recognize speech, process images, generate language, and classify or transform information. A voice interface may convert sound to text, pass it through a language model, and generate a response. A conversational agent can produce remarkably coherent exchanges. Neither process should be assumed to constitute human-like thought or cognition. Image recognition works through different architectures and processes, but it shares with these systems a reliance on computational models trained to detect and organize patterns. The computational sophistication is considerable. What remains largely absent is any necessary equivalence between such operations and human experience.
That gap is the opening. Between what a system does and what a person experiences, there's a space, and artists have moved into it. Once machines started convincingly performing abilities once assumed to belong to humans alone, the figure of the artist-researcher became increasingly relevant. Not a new role so much as a reconfiguration of an existing one: the artist working simultaneously as practitioner, investigator, and critical observer of technological systems. The question stopped being only what an intelligent system can do. It became how that system gets perceived. How it gets lived with. How it comes to mean anything at all inside a human context.