| Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models | Dec 14, 2021 | AttributeFairness | CodeCode Available | 0 |
| AI Ethics Principles in Practice: Perspectives of Designers and Developers | Dec 14, 2021 | EthicsFairness | —Unverified | 0 |
| Self-Paced Deep Regression Forests with Consideration of Ranking Fairness | Dec 13, 2021 | Age EstimationFairness | CodeCode Available | 0 |
| Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective | Dec 13, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Fairness for Robust Learning to Rank | Dec 12, 2021 | FairnessLearning-To-Rank | —Unverified | 0 |
| Efficient Device Scheduling with Multi-Job Federated Learning | Dec 11, 2021 | Bayesian OptimizationFairness | —Unverified | 0 |
| On Causally Disentangled Representations | Dec 10, 2021 | DisentanglementFairness | CodeCode Available | 0 |
| A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions | Dec 10, 2021 | BIG-bench Machine LearningEthics | —Unverified | 0 |
| Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support | Dec 10, 2021 | Fairness | —Unverified | 0 |
| On Fair Selection in the Presence of Implicit and Differential Variance | Dec 10, 2021 | Fairness | —Unverified | 0 |
