Foundations

You will learn what a well-written process statement should disclose about tools, prompts, and human editing. By the end, you will be able to judge whether a claim of authorship matches the working method described.

You will see how diffusion models, generative adversarial networks, and rule-based systems differ in how they produce images, and what each approach implies for an artist's control over the result. This comparison will help you choose a method that matches your intentions rather than following trends.

You will understand the current, still-evolving distinctions between human authorship and machine generation in copyright terms. This grounding will help you make informed decisions before relying on an AI tool for a commercial or exhibited work.