| Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions | Mar 13, 2024 | Data IntegrationFairness | —Unverified | 0 | 0 |
| Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) | Sep 5, 2023 | Fairness | —Unverified | 0 | 0 |
| Back to the Drawing Board for Fair Representation Learning | May 28, 2024 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
| Detection of Groups with Biased Representation in Ranking | Dec 30, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| Detection and Mitigation of Bias in Ted Talk Ratings | Mar 2, 2020 | AttributeFairness | —Unverified | 0 | 0 |
| Information-Geometric Barycenters for Bayesian Federated Learning | Dec 16, 2024 | Bayesian InferenceDistributed Optimization | —Unverified | 0 | 0 |
| Alleviating the recommendation bias via rank aggregation | Apr 22, 2020 | FairnessRecommendation Systems | —Unverified | 0 | 0 |
| Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data | Oct 14, 2024 | Fairness | —Unverified | 0 | 0 |
| Detecting Prefix Bias in LLM-based Reward Models | May 13, 2025 | Data AugmentationFairness | —Unverified | 0 | 0 |
| BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables | Jul 6, 2023 | AttributeFairness | —Unverified | 0 | 0 |
