The Ghost in the Machine: How 1973 Sparked the AI Art Revolution

When we think of artificial intelligence generating images, our minds usually jump to modern tools that whip up hyper-realistic photos or fantastical landscapes in seconds. But long before neural networks, smartphones, or even widespread personal computers, the seeds of machine creativity were planted.

The story of the very first AI-generated image takes us back more than half a century to 1973—and to a British painter who decided to teach a computer how to draw.

Meet Harold Cohen and AARON

In the early 1970s, Harold Cohen was a successful, internationally recognized painter. His work had been featured at prestigious events like the Venice Biennale. However, Cohen found himself gripped by a radical question: What is the core essence of drawing? Could the cognitive rules of human artistic creation be broken down and taught to a machine?

To find out, Cohen took up a visiting scholar position at the Stanford Artificial Intelligence Laboratory in California. Working with the massive, room-sized computers of the era, he began writing a symbolic AI program that would eventually change visual culture forever. He named the program AARON.

Not Machine Learning, But Pure Logic

AARON was vastly different from the AI art generators we use today. Modern tools rely on deep learning, analyzing billions of images scraped from the internet to spot statistical patterns.