Co-occurring keywords · papers mentioning both
Papers
A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas
AAAI 2026
Measuring and Mitigating Racial Bias in Embedding Models: A Comparative Study for Law Enforcement Retrieval
ACL 2026
Thesis Proposal: Auditing and Mitigating Demographic Bias in Multi-Stage Retrieval Systems for Criminal Justice Applications
ACL 2026
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
ACL 2025
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
NAACL 2025
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models
IJCNLP 2025
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
CVPR 2025
FaiST: A Benchmark Dataset for Fairness in Speech Technology
Interspeech 2025
Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender?
ACL 2025
Stereotype or Personalization? User Identity Biases Chatbot Recommendations
ACL 2025
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
AAAI 2025
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
ACL 2025
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
ACL 2024
Bias in News Summarization: Measures, Pitfalls and Corpora
ACL 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing
WACV 2024
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
ACL 2024
Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images
EACL 2024
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
AAAI 2024
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
AAAI 2024
Modeling Gender and Dialect Bias in Automatic Speech Recognition
EMNLP 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
MLHC 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages
ACL 2023
Exploring Sources of Racial Bias in Automatic Speech Recognition through the Lens of Rhythmic Variation
Interspeech 2023
Measuring Intersectional Biases in Historical Documents
ACL 2023