| Approaching Ethical Guidelines for Data Scientists | Jan 14, 2019 | EthicsFairness | —Unverified | 0 | 0 |
| Can large language models be privacy preserving and fair medical coders? | Dec 7, 2024 | FairnessPrivacy Preserving | —Unverified | 0 | 0 |
| Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare | Jan 24, 2024 | Fairness | —Unverified | 0 | 0 |
| Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks | Aug 21, 2024 | ArticlesFairness | —Unverified | 0 | 0 |
| A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction | Jan 8, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference | Oct 19, 2020 | Bayesian InferenceFairness | —Unverified | 0 | 0 |
| APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation | Mar 8, 2024 | DecoderFairness | —Unverified | 0 | 0 |
| Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML | Mar 15, 2023 | AutoMLFairness | —Unverified | 0 | 0 |
| Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI | Jun 14, 2021 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| A Post-Processing-Based Fair Federated Learning Framework | Jan 25, 2025 | FairnessFederated Learning | —Unverified | 0 | 0 |
