| Towards a Measure of Individual Fairness for Deep Learning | Sep 28, 2020 | AttributeDeep Learning | —Unverified | 0 | 0 |
| Towards an AI Accountability Policy | Jul 25, 2023 | BenchmarkingFairness | —Unverified | 0 | 0 |
| Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval | Apr 1, 2024 | FairnessLearning-To-Rank | —Unverified | 0 | 0 |
| Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education | Oct 8, 2024 | Decision MakingFairness | —Unverified | 0 | 0 |
| Towards a Responsible AI Development Lifecycle: Lessons From Information Security | Mar 6, 2022 | Fairness | —Unverified | 0 | 0 |
| Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods | Jun 16, 2021 | Fairness | —Unverified | 0 | 0 |
| Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification | Jul 11, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards a Single ASR Model That Generalizes to Disordered Speech | Dec 26, 2024 | Fairnessspeech-recognition | —Unverified | 0 | 0 |
| Towards a Socially Acceptable Competitive Equilibrium in Energy Markets | Sep 6, 2024 | Fairness | —Unverified | 0 | 0 |
| Towards Auditability for Fairness in Deep Learning | Nov 30, 2020 | Deep LearningFairness | —Unverified | 0 | 0 |
| Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness | Sep 20, 2022 | ClassificationClustering | —Unverified | 0 | 0 |
| Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework | Jul 21, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case | Jul 24, 2023 | Decision MakingExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| Towards Carbon-Free Electricity: A Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization | Aug 7, 2023 | Decision MakingFairness | —Unverified | 0 | 0 |
| Rethinking Certification for Trustworthy Machine Learning-Based Applications | May 26, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards classification parity across cohorts | May 16, 2020 | ClassificationClustering | —Unverified | 0 | 0 |
| Towards clinical AI fairness: A translational perspective | Apr 26, 2023 | FairnessTranslation | —Unverified | 0 | 0 |
| Towards Clinical AI Fairness: Filling Gaps in the Puzzle | May 28, 2024 | Fairness | —Unverified | 0 | 0 |
| Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift | Jul 11, 2025 | Collaborative FairnessFairness | —Unverified | 0 | 0 |
| Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation | Aug 23, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning | Oct 15, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards detecting unanticipated bias in Large Language Models | Apr 3, 2024 | Decision MakingFairness | —Unverified | 0 | 0 |
| Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings | Feb 22, 2024 | Fairness | —Unverified | 0 | 0 |
| Towards Environmentally Equitable AI | Dec 21, 2024 | FairnessManagement | —Unverified | 0 | 0 |
| Towards Equal Gender Representation in the Annotations of Toxic Language Detection | Jun 4, 2021 | Fairness | —Unverified | 0 | 0 |
