| Causal Explanations and XAI | Jan 31, 2022 | counterfactualExplainable artificial intelligence | —Unverified | 0 |
| Fair Wrapping for Black-box Predictions | Jan 31, 2022 | Fairness | CodeCode Available | 0 |
| Fair ranking: a critical review, challenges, and future directions | Jan 29, 2022 | FairnessRetrieval | —Unverified | 0 |
| FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification | Jan 27, 2022 | FairnessGraph Neural Network | —Unverified | 0 |
| Fairness Implications of Encoding Protected Categorical Attributes | Jan 27, 2022 | FairnessFeature Engineering | CodeCode Available | 4 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 |
| Promises and Challenges of Causality for Ethical Machine Learning | Jan 26, 2022 | BIG-bench Machine LearningCausal Inference | —Unverified | 0 |
| Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery | Jan 25, 2022 | Causal InferenceFairness | —Unverified | 0 |
| Are Commercial Face Detection Models as Biased as Academic Models? | Jan 25, 2022 | Face DetectionFairness | —Unverified | 0 |
| An Algorithmic Framework for Bias Bounties | Jan 25, 2022 | Fairness | —Unverified | 0 |
