  Text-to-Image artificial intelligence (AI) recently saw a major breakthrough
with the release of Dall-E and its open-source counterpart, Stable Diffusion.
These programs allow anyone to create original visual art pieces by simply
providing descriptions in natural language (prompts). Using a sample of 72,980
Stable Diffusion prompts, we propose a formalization of this new medium of art
creation and assess its potential for teaching the history of art, aesthetics,
and technique. Our findings indicate that text-to-Image AI has the potential to
revolutionize the way art is taught, offering new, cost-effective possibilities
for experimentation and expression. However, it also raises important questions
about the ownership of artistic works. As more and more art is created using
these programs, it will be crucial to establish new legal and economic models
to protect the rights of artists.
