| Counterfactual Explanation for Fairness in Recommendation | Jul 10, 2023 | AttributeCausal Inference | —Unverified | 0 |
| DBFed: Debiasing Federated Learning Framework based on Domain-Independent | Jul 10, 2023 | FairnessFederated Learning | —Unverified | 0 |
| D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias | Aug 10, 2022 | Fairness | —Unverified | 0 |
| Dbias: Detecting biases and ensuring Fairness in news articles | Aug 11, 2022 | ArticlesFairness | —Unverified | 0 |
| Auditing Predictive Models for Intersectional Biases | Jun 22, 2023 | Bias DetectionFairness | —Unverified | 0 |
| De-amplifying Bias from Differential Privacy in Language Model Fine-tuning | Feb 7, 2024 | counterfactualData Augmentation | —Unverified | 0 |
| A Survey on Fairness-aware Recommender Systems | Jun 1, 2023 | Decision MakingFairness | —Unverified | 0 |
| Demystifying the Effects of Non-Independence in Federated Learning | Mar 20, 2021 | FairnessFederated Learning | —Unverified | 0 |
| Costs and Benefits of Fair Regression | Jun 16, 2021 | AttributeFairness | —Unverified | 0 |
| AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps | Mar 12, 2024 | EthicsFairness | —Unverified | 0 |
