Model Collapse

In this practical workshop, participants will experiment with expanded collage making as a way to understand the circulation of images in the age of machine learning. They will explore the phenomenon of model collapse: a degenerative learning process caused when a model is trained on AI generated content. AI images reverse the indexical logic of photography and play a role in shaping the world; through this practical workshop, we will ask what happens when the image comes first.

Please note: whilst we are exploring machine learning tools, we will not be using generative AI software in this workshop.

Takeaways: 

Participants will develop an understanding of how:

1. Model collapse causes data loss, degradation, and abstraction within generative AI systems.
2. Collage and generative AI have many overlapping qualities.
3. Data labelling is a limiting and unethical practice.

Duration: 3h

Knowledge required: 
No prior knowledge required