Search Results for author:
Found 3 papers, 0 papers with code
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
In practice, the societal impact of machine learning is determined by the surrounding context of machine learning deployments.
Ecosystem Graphs: The Social Footprint of Foundation Models
Foundation models (e. g. ChatGPT, StableDiffusion) pervasively influence society, warranting immediate social attention.
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
As the scope of machine learning broadens, we observe a recurring theme of algorithmic monoculture: the same systems, or systems that share components (e. g. training data), are deployed by multiple decision-makers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
