The First Ever AI Image: History of AARON and AI Art

The Dawn of Digital Creativity: The Story Behind the First AI Image

When people think of artificial intelligence and art today, they usually imagine typing a prompt into a modern text-to-image generator and watching a hyper-realistic masterpiece appear in seconds. But the history of AI-generated imagery goes back much further than most realize—long before smartphones, social media, or neural networks.

The story of the very first AI image begins in the late 1960s and early 1970s with a British painter turned computer programmer named Harold Cohen.

Meet AARON: The World’s First AI Artist

In 1968, Harold Cohen was a successful, internationally recognized painter representing Great Britain at prestigious global art events like the Venice Biennale. Yet, he became deeply fascinated by a radical question: What is the core cognitive process of drawing, and could a machine be taught to replicate it?

To find out, Cohen left his traditional canvases behind, moved to the United States, and eventually landed at the Stanford Artificial Intelligence Laboratory. There, he began writing a groundbreaking software program that he named AARON.

By the early 1970s (with significant milestones reached around 1973), AARON produced some of the earliest computer-generated drawings recognized as genuine AI art.

How the First AI Image Was Made

Unlike modern AI models—which scrape billions of images from the internet and use statistical pattern recognition to guess what a “cat” or “sunset” looks like—AARON operated entirely differently:

• No Internet Scraping: In the 1970s, the internet as we know it didn’t exist. There was no massive dataset of digital images to train on.
• Rule-Based Logic: Cohen approached AARON like a human student. He manually translated the cognitive rules of art into code. He taught the program geometry, how lines relate to one another, the principles of perspective, composition, and proportion.
• Autonomous Decision Making: Crucially, Cohen didn’t draw the images himself using a computer mouse or remote control. Once the rules were set, AARON made its own independent choices in real-time. The machine decided where lines would go, how shapes would overlap, and how the composition would balance out. Every output was unique.

Early iterations of AARON produced primitive, abstract, black-and-white line drawings. Over the decades, as computer technology evolved, Cohen updated AARON to understand closed forms, human figures, and botanical elements, eventually allowing it to paint with color and project massive jungle scenes on gallery walls.

Why the First AI Image Still Matters

When you look back at AARON’s early black-and-white compositions, they might look simple compared to the dazzling, high-definition art we generate today. However, they represent a massive philosophical and technological breakthrough:

1. Pioneering Autonomy: AARON proved that a computer could be more than just a passive tool (like a paintbrush or a camera); it could act as an independent creative agent capable of surprising its creator.
2. A Legacy in Museums: AARON’s work transcended the computer lab, earning exhibitions at world-famous institutions like the Tate Modern and the Whitney Museum of American Art long before anyone else was thinking about computer creativity.

Harold Cohen continued developing and collaborating with AARON for decades until his passing in 2016, leaving behind a blueprint that bridges the gap between traditional fine art and the digital future.