Preprint Open access
Algorithmic Harms Associated with Generative Model-Augmented Recommendation Systems
In this work, we consider algorithmic harms that may arise as generative models are incorporated into machine learning platforms. We argue that existing harm taxonomies and threat models require extension to (1) address novel causal drivers of well-studied representational and quality-of-service harms; and (2) anticipa …