| Measuring Fairness of Text Classifiers via Prediction Sensitivity | Mar 16, 2022 | Attributecounterfactual | —Unverified | 0 |
| Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models | Jul 1, 2022 | AttributeFairness | —Unverified | 0 |
| Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments | Sep 4, 2023 | Causal InferenceFairness | —Unverified | 0 |
| Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways | Feb 6, 2024 | FairnessImage Retrieval | —Unverified | 0 |
| Measuring Model Biases in the Absence of Ground Truth | Mar 5, 2021 | Fairnessimage-classification | —Unverified | 0 |
| Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective | May 20, 2021 | Fairness | —Unverified | 0 |
| Measuring Representational Harms in Image Captioning | Jun 14, 2022 | FairnessImage Captioning | —Unverified | 0 |
| Measuring Social Biases of Crowd Workers using Counterfactual Queries | Apr 4, 2020 | BIG-bench Machine Learningcounterfactual | —Unverified | 0 |
| Measuring Spiritual Values and Bias of Large Language Models | Oct 15, 2024 | Fairness | —Unverified | 0 |
| Measuring the right thing: justifying metrics in AI impact assessments | Apr 7, 2025 | Fairness | —Unverified | 0 |
