Portfolio

Dalos Dov

Exploring the human experience through AI and generative systems.

I make work about what remains unchanged in the human experience at a time shaped by technological acceleration.

Technology evolves rapidly, and new incredible capabilities emerge on what feels like every week, reshaping how we work, communicate, and create. But some aspects of being human don't ever change. I'm interested in finding those and trying to understand what it reveals about us.

For that, I use artificial intelligence and generative systems as a lens to examine human experience. Watching what The Machine can and cannot do makes visible what we often take for granted about ourselves. The failures are as instructive as the successes. The differences matter as much as the approximations.

I like to work with questions, not answers. Each project begins with genuine uncertainty, something I don't yet understand about what it means to be human in relation to our current technological systems. And for that, I design processes to investigate those questions, often involving AI, duration, participation, or constraint-based systems.

Some projects are observational. Others are participatory, giving agency to others and watching what they do. Some unfold over long periods (years, sometimes more than a decade) because time itself is something humans experience fundamentally differently than machines do.

In the end, my work isn't about technology's capabilities or limitations. It's about paying attention to what makes being human extraordinary. The more I investigate what The Machine cannot do, the more grateful I become for what we can. For the fact that we feel things. That we choose what matters. That we live in time, in bodies, with stakes. Making my work is a practice of noticing how remarkable that is, as something worth experiencing fully, presently, gratefully.

Ultimately, what I want to do is to end every single project with the same realization: it's fucking amazing to be human.

Past Projects

Do Machines Dream of Human Bodies? (2025)

The Human Experience in the Mirror of Artificial Interpretation

Do Machines Dream of Human Bodies? explores what happens when The Machine tries to understand an embodied experience it cannot have. I asked an AI language model to describe what specific bodily sensations feel like, from straightforward actions like dancing or running to more abstract ones like growing up or being depressed. I then fed those descriptions into an image generation model, asking it to visualize its own exact interpretation.

What emerged surprised me every time. The Machine would take a bodily experience and produce something I hadn’t anticipated. Surreal, exaggerated, often beautiful in their strangeness. These images show what happens when something without a body tries to imagine one. The distance between the attempt and lived reality, whether close or far, exposes something fundamental: embodiment is an experience to be lived, not information to be processed.

In the end, the work reveals that embodiment is irreducibly human. Watching The Machine reach for it makes visible what we often take for granted about living in bodies that feel, change, and matter.

To learn more about the 100 pieces of Do Machines Dream of Human Bodies?, you can do so here.

Becoming One

Becoming One (2025)

What We Outgrow (2025)

Misunderstood Rhythm (2025)

The Shape of Labor (2025)

For Friends (2023 - )

Portraits shaped by time, tech, and trust.

For Friends is a 13-year project documenting how we see each other as both people and technology evolve. At its core is a single instruction that never changes: "Take a medium close-up shot of a friend where the body and look are centered, facing the camera." But everything around that instruction transforms: the camera I use each year, the AI-generated backgrounds that extend each portrait, and a randomly selected color filter determined by code.

Each portrait emerges from three generative systems working together: the interpretation of the instruction, the AI's completion of the background, and code's random selection of color. None of these elements is fully controlled by one person. The result is collaborative in a way that mirrors how relationships actually work, shaped by intention, circumstance, and chance.

What remains is a shared archive, scattered across lives and places, belonging to the people who made it possible by participating in something uncertain: not knowing what color they'd receive, what the final image would become, or how they'd change over the years ahead.

To learn more about For Friends, you can do so here.

For Friends #1-#56 (2023-2026). Portraits taken so far.

Bio / CV

Dalos Dov (b. 1994, Veracruz, Mexico) is a visual artist based in Guadalajara, Mexico. His work explores what remains unchanged in the human experience at a time shaped by technological acceleration.

Using AI and generative systems, Dov creates images and time-based projects that investigate the gap between what machines can simulate and what can only be lived. His practice is driven by questions about embodiment, memory, choice, and what makes us irreducibly human.

Group Exhibitions

  • Synthetic Mythologies // Miami, December 2025

  • Consensus // Hong Kong, February 2026

Talks & Curation

  • Curator at “Generative Emblems: A Bright Moments Exhibition” //

    Bright Moments Gallery, Mexico City, October 2023

  • Speaker at Mutek: “Intro to Generative Art” //

    Mexico City, October 2023