When Beauty Becomes Suspicious: Looking at Art in the Age of AI

Can an artwork look so polished that we begin to doubt how it was made?

A recent Psychology Today article by Travis Tae Oh explores that question. In a preliminary, unpublished study, viewers judged digital reproductions of nineteenth-century paintings alongside AI-generated versions. For that particular selection, the original paintings were more frequently labelled AI-generated than the generated images themselves. The study was small, using five pairs, but it raises an interesting possibility: our expectations about AI can interfere with our recognition of human work.

What interests me is how this might affect our willingness to look.

The freedom to pursue beauty

In my Renaissance-inspired digital portraits and Visionary Jewellery artworks, I pursue luminosity, intricate detail and carefully balanced forms. The attraction lies partly in imagining something extraordinary closely enough that its surfaces, light and structure feel convincing.

Those qualities deserve attention on their own terms. A luminous gemstone, a richly imagined gold surface or a finely resolved face should invite exploration.

When polish becomes a reason for immediate suspicion, the conversation can stop before that exploration begins. We decide which category an image belongs to, then allow the category to do our looking for us.

I would rather make room for curiosity.

Being clear about the process

Curiosity also needs honest information.

My practice includes AI-assisted image making. That involvement belongs in the explanation of the work, alongside the ideas, selections and revisions that shape each piece. Viewers should be able to understand what the technology contributed and where my creative decisions entered the process.

The distinction between the image and the physical object matters too. Gold and gemstones depicted in a Visionary Jewellery artwork are imagined materials within a digital composition. The finished print has its own paper, surface and presentation. Both can be appreciated more fully when they are described accurately.

Close-ups can reveal details worth spending time with. Development images and accounts of specific revisions can help explain how a piece took shape. Each offers a different kind of understanding.

Looking beyond the first label

People have good reasons to care about authorship, craft, cultural context and the use of AI. Those questions deserve thoughtful answers.

Alongside them, I want to leave space for the encounter with the artwork itself: where the eye travels, how colour changes the mood, what a symbol brings to mind, and whether an image stays with us.

Knowing how a work was made can deepen that encounter. Asking about its origins can open a conversation.

I hope we keep looking long enough to have one.

Inspired by Travis Tae Oh’s “Why Real Paintings Can Look AI-Generated,” published in Psychology Today on 15 October 2026.