Fairness

A Diagnostic Framework for Auditing Reference-Free Vision-Language Metrics IJCNLP 2025 Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test AAAI 2025 Adversarial Latent Feature Augmentation for Fairness ICLR 2025 Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 2025 AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization EMNLP 2025 AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment EMNLP 2025 Africa Health Check: Probing Cultural Bias in Medical LLMs EMNLP 2025 AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages NAACL 2025 A Generic Framework for Conformal Fairness ICLR 2025 A Group Fairness Lens for Large Language Models EMNLP 2025 AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark CVPR 2025 AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate AAAI 2025 AIM: Amending Inherent Interpretability via Self-Supervised Masking ICCV 2025 AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data CVPR 2025 AI Sees Your Location—But With A Bias Toward The Wealthy World EMNLP 2025 AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AI AAAI 2025 Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study ACL 2025 Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race ACL 2025 Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication EMNLP 2025 Aligning Visual Contrastive learning models via Preference Optimization ICLR 2025 Alleviating Dual Biases in Recommendation (Student Abstract) AAAI 2025 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025 All That Glitters is Not Novel: Plagiarism in AI Generated Research ACL 2025 “All that Glitters”: Techniques for Evaluations with Unreliable Model and Human Annotations NAACL 2025 (Almost Full) EFX for Three (and More) Types of Agents AAAI 2025