603 citations · 605 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 2 cited
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
Kristian Lum, Jacy Reese Anthis, Kevin Robinson +2
Standard benchmarks of bias and fairness in large language models (LLMs) measure the association between the user attributes stated or implied by a prompt and the LLM's short text…
stat.AP2018★ 603 cited
Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions
Shira Mitchell, Eric Potash, Solon Barocas +2
A recent flurry of research activity has attempted to quantitatively define "fairness" for decisions based on statistical and machine learning (ML) predictions. The rapid growth of…