| Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions | Jan 24, 2020 | Decision MakingFairness | CodeCode Available | 0 |
| Algorithmic Fairness | Jan 21, 2020 | Decision MakingFairness | —Unverified | 0 |
| The Incentives that Shape Behaviour | Jan 20, 2020 | Fairness | —Unverified | 0 |
| Teaching Software Engineering for AI-Enabled Systems | Jan 18, 2020 | EthicsFairness | CodeCode Available | 1 |
| RobBERT: a Dutch RoBERTa-based Language Model | Jan 17, 2020 | FairnessLanguage Modeling | CodeCode Available | 1 |
| Fairness Measures for Regression via Probabilistic Classification | Jan 16, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| Fairness in Learning-Based Sequential Decision Algorithms: A Survey | Jan 14, 2020 | Decision MakingFairness | —Unverified | 0 |
| Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach | Jan 14, 2020 | FairnessFederated Learning | —Unverified | 0 |
| Differentially Private and Fair Classification via Calibrated Functional Mechanism | Jan 14, 2020 | Autonomous DrivingBIG-bench Machine Learning | —Unverified | 0 |
| Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs | Jan 9, 2020 | Common Sense ReasoningFact Checking | —Unverified | 0 |
| Theory In, Theory Out: The uses of social theory in machine learning for social science | Jan 9, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Algorithmic Fairness from a Non-ideal Perspective | Jan 8, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Vamsa: Automated Provenance Tracking in Data Science Scripts | Jan 7, 2020 | FairnessRecommendation Systems | —Unverified | 0 |
| RECAST: Interactive Auditing of Automatic Toxicity Detection Models | Jan 7, 2020 | Adversarial RobustnessFairness | —Unverified | 0 |
| Fair Active Learning | Jan 6, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 0 |
| On Consequentialism and Fairness | Jan 2, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| (Individual) Fairness for k-Clustering | Jan 1, 2020 | ClusteringFairness | —Unverified | 0 |
| Bounding the fairness and accuracy of classifiers from population statistics | Jan 1, 2020 | Fairness | CodeCode Available | 0 |
| Two Simple Ways to Learn Individual Fairness Metric from Data | Jan 1, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Model-Agnostic Characterization of Fairness Trade-offs | Jan 1, 2020 | DiagnosticFairness | —Unverified | 0 |
| Fair k-Centers via Maximum Matching | Jan 1, 2020 | Data SummarizationFairness | —Unverified | 0 |
| Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards | Jan 1, 2020 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| How to Solve Fair k-Center in Massive Data Models | Jan 1, 2020 | Data SummarizationDecision Making | —Unverified | 0 |
| Too Relaxed to Be Fair | Jan 1, 2020 | Fairness | CodeCode Available | 1 |
| A Framework for Democratizing AI | Jan 1, 2020 | Fairness | CodeCode Available | 0 |
