Long before the era of modern text-to-image generators and neural networks, the concept of artificial intelligence creating art was already being brought to life.
The story of the first AI-generated image dates back to the late 1960s and early 1970s, pioneered by British artist and programmer Harold Cohen. Frustrated by the limitations of traditional painting, Cohen set out to encode the cognitive act of drawing into a computer program. He named his creation AARON.
Unlike today’s AI models, which are trained on billions of images scraped from the internet using deep learning, AARON was built on symbolic, rule-based logic. Cohen didn’t feed it existing pictures to copy; instead, he manually programmed it with rules about geometry, human anatomy, perspective, and composition. AARON possessed its own set of “cognitive” rules, allowing it to make autonomous decisions on how to arrange lines, shapes, and figures on a canvas.
By the early 1970s—particularly following Cohen’s residency at the Stanford Artificial Intelligence Laboratory—AARON successfully began producing the world’s first autonomous computer-generated line drawings. Connected to a specialized drawing machine (a robotic arm holding a pen), the software would independently plot out and execute abstract shapes, foliage, and human figures.
The resulting outputs shocked the art and technology worlds. AARON’s primitive black-and-white drawings proved that a machine could do more than just crunch numbers—it could participate in the creative process. Over the decades, Cohen continuously updated AARON, teaching it color theory, painting, and more complex scenes until his passing. His early work laid the foundational bedrock for the generative art movement, transforming what was once pure science fiction into a historic reality that paved the way for the digital creativity we see today.
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