Fairness

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026 Achieving Fairness Without Harm via Selective Demographic Experts AAAI 2026 ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs AAAI 2026 Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms AAAI 2026 Addressing Polarization and Unfairness in Performative Prediction AAAI 2026 AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026 A General Anchor-Based Framework for Scalable Fair Clustering AAAI 2026 ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection AAAI 2026 AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys AAAI 2026 Analysing LLM Persona Generation and Fairness Interpretation in Polarised Geopolitical Contexts EACL 2026 An External Fairness Evaluation of LinkedIn Talent Search AAAI 2026 Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection WACV 2026 Argumentative Debates for Transparent Bias Detection AAAI 2026 Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone EACL 2026 A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas AAAI 2026 Auto-BenchmarkCard: Automated Synthesis of Benchmark Documentation AAAI 2026 A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions WACV 2026 BAFIS: Dataset + Framework to Assess Occupational Bias and Human Preference in Modern Text-to-image Models WACV 2026 Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing JMLR 2026 Bayes-Optimal Fair Classification with Multiple Sensitive Features AAAI 2026 Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images AAAI 2026 Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition WACV 2026 Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models EACL 2026 Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness AAAI 2026 Bias Association Discovery Framework for Open-Ended LLM Generations AAAI 2026