Can Your AI Art Pass the Turing Test?

Shower upon him every earthly blessing, drown him in a sea of happiness, so that nothing but bubbles of bliss can be seen on the surface; give him economic prosperity, such that he should have nothing else to do but sleep, eat cakes, and busy himself with the continuation of his species, and even then out of sheer ingratitude, sheer spite, man would play you some nasty trick.

—Fyodor Dostoevsky, Notes from the Underground



  1. They are good at their craft
  2. They have an interesting vision

The craft refers to the technical prowess an artist has with their writing, painting, sculpting, etc. It’s important, but it’s little more than a medium for executing a vision. Good art is seeing things in a way nobody else sees them and expressing that vision in a way that makes people feel something.

Right now, AI in art is just another medium for expressing a vision. It’s a potentially more effective, realistic, and efficient medium than we’ve ever seen. But it is a medium nevertheless.

I don’t believe AI is anywhere close to replacing artists because AI itself doesn’t have artistic vision. We can create a neural network that we refer to as “artificial intelligence”, and that neural network can operate analogously to how a brain operates. But a brain—and by extension, a person—is the most complex thing in the universe. We don’t know everything going on in our subconscious minds. We don’t know the exact ways that our childhoods, the lives of our ancestors, and our environment impact our thought processes and creations.

Before I worked in AI, I used to think that engineers had brains like computers: black-and-white thinking, “if this, then that” lines of reasoning like Python code, hyper literal communication styles, and so on. Then I realized it’s the other way around: engineers created computers to think like themselves. One of the technological advancements that enabled the AI boom was the ability to create complex neural networks that can recognize patterns and make decisions based on vast amounts of data. While these networks can create links between disparate ideas and interpret them, their “thinking” processes still represent pale facsimiles of real human brains.

We cannot replicate ourselves, because we do not know ourselves. As it turns out, it’s actually quite reassuring to realize that we are not God.

I recently discovered that my Mom’s grandfather owned a tavern. I found this a strange piece of information given that his daughter—my maternal grandma—married an alcoholic who drank himself to death, and my mom was deathly afraid of alcohol.

Isn’t it interesting how heirlooms get inherited like that? We can see those more obvious types of traumas get passed down using the same kind of “if this, then that” logic we use to build AI networks: “If your great-grandfather is a brewer, then your mom will be terrified of alcohol.” This leads us to believe the fallacy that a machine learning model with enough information can output a person. But it’s arrogant to think we have the vision to see it all.

There are echoes inside us that go back generations—millennia—that we couldn’t possibly fathom because they influence us on genetic, emotional, and spiritual levels.

We cannot replicate the process of passing down the universe-deep complexities of humanhood because we don’t understand it fully. Even if we understand, say, genetics on a conceptual and practical level, we can’t know the origin of our individual genetics well enough to know why we have a gene mutation that makes us hate the taste of cilantro, or how that mutation impacts our art in subtle, tangential ways.

Your ancestor watched his father get mauled by a saber-toothed cat when he was five years old. The screaming, skull-crunching trauma of that moment didn’t just sear itself like an iron brand onto his body, his soul, his mind, his molecular structure; it spidered down generational lines as a blood memory, all the way to you. That’s why your hair stands on the back of your neck when your body senses a predator nearby, even if you can’t see it. That’s your ancestor telling you to watch your back. How does that influence your dreams? How did those dreams lead to your latest painting idea? In what ways does that impossible-to-know, thinner-than-a-spider-web connection between you and your ancestor lead to the unmistakable humanity in your creations?

Part of what makes great art is the story of its creation. Michelangelo sculpted the Pieta out of a single block of marble when he was only 23 years old. Later in life, he regretted his choice to sign his name across the virgin’s breast; now that’s a story. More recently, Harry Potter became a worldwide sensation for the story contained in the books. But part of what stoked the series’ early attention was the story of JK Rowling living as a single mother subsisting on food stamps when she wrote the first installment of the series.

In a museum, we often spend as much time reading the placards as we do looking at the paintings themselves. Art, it seems, isn’t quite enough without context. People are that context. If it weren’t for human consciousness, it’s not entirely obvious that the world would exist at all, let alone art.

AI doesn’t have consciousness (yet). Sure, there will be stories of the first widely-released AI-generated film, the first AI artist to win a Grammy, and the first AI actor to win an Oscar. But that territory of “firsts” is quite finite. Those will cease being good stories the moment they become expected stories. We will yearn even more for the artistic touch of a human.

It’s important for a serious artist to have high quality tools like paints, canvases, and brushes. But they’re only tools. At the moment, generative AI is a tool—a highly effective, dynamic tool, the likes of which we have never seen before—but a tool all the same. Becoming obsessed with it and its evolution is perhaps more than a distraction: it’s an impediment. The same way obsessing over the newest, best brushes and paint could be a distraction from simply painting.

I keep hearing the following sentiment: “AI won’t replace people; people who use AI will replace people.” I repeated it for a while too. But, over time, I heard it so often I realized it must be wrong somehow—it’s too smug and unsubstantiated to be true.

Don’t get me wrong: AI will progress in ways we cannot predict. It may cease being merely the paint and the canvas, and it may become the painter. At that point, yes, AI will replace some artists––but only the ones with no vision. Because AI may surpass man in intellect, but never in humanity. And humanity is the prerequisite to good art.