Celebrating Human Creativity Means Guarding Against Stereotyping by AI
The term “model collapse” has been used to describe the loss of creativity in machine learning trained on its own outputs. Several new studies provide potent examples of the risks of model collapse, and highlight the importance of ensuring the traceability and human-sourcing of data to prevent stereotyping by generative AI.