> For the complete documentation index, see [llms.txt](https://carla-gannis.gitbook.io/visual-ai-studio-for-art-and-technology/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://carla-gannis.gitbook.io/visual-ai-studio-for-art-and-technology/visual-ai-studio-for-art-and-technology.md).

# VISUAL AI STUDIO FOR ART AND TECHNOLOGY

<figure><img src="/files/1oKC6GsOupyb6rcOUiHN" alt=""><figcaption></figcaption></figure>

Co-taught by an artist-technologist (Carla Gannis) and an art historian and critic (A.V. Marraccini), this class is a practice-theory hybrid studio for visual AI. Using art historical inspiration, students will make work in a variety of practical modes—from text to image to GANs models and more. Critical writing and exploration exercises will allow students to think about the philosophical and ethical debates surrounding AI alongside their work.

There will be lectures; class visits from machine learning engineers, media theorists, artists and agency heads implementing artificial intelligence in multiple forms; along with hands-on introductions to working with and across AI platforms. There are no prerequisites for this course, students’ own interests will guide a hybrid final project. The course will culminate in an exhibition of students' work at NYU.

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