Gagosian is pleased to announce an exhibition of new prints by Bennett Miller produced using a DALL•E image generator. This is Miller’s first exhibition with the gallery.
The works on view in New York emerged after a five-year period in which Miller researched and shot a documentary film about the technological crossroads at which we now find ourselves. Having interviewed numerous figures involved with artificial intelligence (AI)—including Sam Altman, CEO of OpenAI, the San Francisco–based developer of DALL•E—the artist began using the software to reflect on the nature and progression of shifts in the ways we understand representational artwork. The striking results engage the history and format of photography to pose questions around the contingent and enigmatic nature of perception, reality, and truth—an enquiry made newly urgent by revolutionary innovations in computing.
DALL•E—a portmanteau of Salvador Dalí and Pixar’s robot character WALL-E—is a “neural net” that employs a deep-learning algorithm trained to translate written prompts into high-fidelity images. It was launched in 2021 by OpenAI, the company also responsible for “large language model” ChatGPT, which performs a comparable operation with text. As Miller’s project acknowledges, such generators already exert a pervasive and not-uncontroversial influence on education, media, and commercial art and design, complicating debates around authenticity, appropriation, and style to a degree not seen since Postmodernism’s 1980s heyday.
In the prints on view in New York, Miller exploits DALL•E’s ability to generate images in multiple styles and combine different concepts. The program’s revolutionary comprehension of the complex relationships between text and image has made it—along with rival programs such as Midjourney and Stable Diffusion—the source of an increasing amount of editorial illustration, prompting cultural, legal, and economic concerns around originality, plagiarism, and the continuing viability of professional specialization. Miller’s exhibition heralds a pivotal moment—one that, as the software’s initial flaws are ironed out and its corpus of source material expands, will never be repeated.
Miller’s new works testify to our crossing of the digital Rubicon. In linking the transformative power of the new technology with the dawn of photography and the birth of mechanical reproduction, they suggest an imminent shift in perception of even greater reach, asking us to reconsider exactly what it means to be human. With their sepia tones and uncanny, fugitive atmosphere, these oneiric works also draw on historical attempts to produce believable images of invented phenomena, including spiritualist photographs and Elsie Wright and Frances Griffith’s shots of the fictional “Cottingley Fairies.” Though Miller’s studies of people and places are hauntingly redolent of late nineteenth- or early twentieth-century America, none of their subjects is wholly “real.”
Many of Miller’s works appear to be historical shots of pre-urban landscapes or children. But while hovering on the edge of recognizability, each one ultimately frustrates any attempt at definitive naming or location. Depictions of a wooden submarine and a pair of hot air balloons seem to hark back to the technologies of an era now beyond living memory, reconstructing it through impressions that may or may not be scientifically accurate. The anonymity of Miller’s image of a mother and child and the eerie haziness of his depiction of a uniformed army cadet, meanwhile, speak to the unreliability of memory—and, by extension, the unreliability of any image-making technology.
As image generators continue to grow in popularity, the issues they raise proliferate. In February alone, Netflix Japan was forced to defend using AI in place of human animators to produce background images for a popular anime, while stock photography firm Getty Images sued Stability AI, Inc., for copyright infringement, accusing the company of mining its collection to train its image generator, Stable Diffusion. Generators are also revealing the influence of AI’s ingrained biases and capacity for disinformation. Revisiting the history of American photography through this embattled contemporary lens, Miller occupies the unstable territory that is already becoming our home.
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