The Lessons of A.I. Art: Exploring Creativity and Innovation

The Lessons of A.I. Art: Exploring Creativity and Innovation

The breadth and simplicity of creative possibilities enabled by A.I. image generation are truly astonishing. As I typed “An Avedon portrait of a Havanese” into my laptop, an actual Havanese looked up at me. The result was eerily similar to what Richard Avedon might have created if he had photographed a Havanese. This image, produced by the A.I. generator DALL-E 2, exemplifies the surprising capabilities of such systems to create astonishing images swiftly.

A.I. image generation has become part of our modern fabric, intriguing art critics and enthusiasts alike. The capacity of these systems to produce compelling images raises questions about whether their advent is recreational or revolutionary. Is this like the invention of the electric light bulb or the arrival of the lava lamp?

Historically, the intersection of new machines with new kinds of images has intrigued artists. A.I. systems like DALL-E 2 don't rely on light and shadow but on art history and the vast reservoir of images they have been trained on. The power of images lies in their ambiguities rather than their arguments, making A.I.-generated images often more fascinating than A.I.-generated prose.

The ability of A.I. to generate images that mimic the styles of famous artists highlights a key difference between style and subject matter. For instance, asking DALL-E 2 for a watercolor of a Paris street in the style of Charles Demuth yields a credible result. This demonstrates that a picture's style can be closely approximated by A.I., though creating something truly original and artistically significant remains challenging.

A.I. art generation systems sharpen our thoughts about our own art-making processes. They reveal that style and subject matter are inextricably linked. For example, asking for a Wayne Thiebaud painting of a bookstore can produce a remarkably convincing image, whereas asking for a Thiebaud painting of a battle results in a confusing, nightmarish mess. This underscores that some artistic themes are so specific to an artist's style and subject matter that they cannot be easily transferred.

Despite these limitations, A.I. systems can create novel imagery that follows an internal logic, often mimicking the actual logic of art history. Prompts for paintings of interiors in the style of specific artists can yield results that leap across time, reflecting the evolving nature of artistic styles.

The essence of Surrealist art, for example, lies in the dialogue between the prompter and the prompted. A.I. systems excel at creating Surrealist images because they operate on this principle of recombination and unexpected juxtapositions. This capability aligns with the heritage of Symbolism and Surrealism, where the dialogue of popular imagery and modern art creates new meanings.

Ultimately, the question remains whether A.I. art is more like a lava lamp or an electric light bulb. While A.I.-generated art may currently serve as a diversion, it possesses an inherent creativity that mirrors the artistic process of combining disparate elements to create something new and evocative.

In conclusion, A.I. art prompts genuine emotion and reflection. The aging Havanese by my side may never visit her favorite beach again, but an A.I.-generated image of a Havanese at sunset on an East Coast beach in the style of a Winslow Homer watercolor captures the essence of that moment. This demonstrates that, while our means in art are mixed, our motives are deeply human: to preserve memories and keep our loves alive. A.I. art, through its mechanical collisions and surprising juxtapositions, reveals the timeless system of art that touches our hearts.

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Meg Olsen

Artist and Educator

1 个月

“An Avedon portrait of a Havanese” into my laptop, an actual Havanese looked up at me. The result was eerily similar to what Richard Avedon might have created if he had photographed a Havanese. This is almost word for word from a 2023 article in the New Yorker written by Adam Gopnik.

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