Fairness
3,574 papers
Papers per year
1
5
3
6
33
66
179
256
364
482
571
726
719
163
'20
'25
Papers
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
ACL 2025
VLSBench: Unveiling Visual Leakage in Multimodal Safety
ACL 2025
VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model
EMNLP 2025
Voices of Her: Analyzing Gender Differences in the AI Publication World
ACL 2025
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers
NAACL 2025
Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation
ACL 2025
We Are AI: Taking Control of Technology
AAAI 2025
Web(er) of Hate: A Survey on How Hate Speech Is Typed
ACL 2025
WEFE: A Python Library for Measuring and Mitigating Bias in Word Embeddings
JMLR 2025
We Politely Insist: Your LLM Must Learn the Persian Art of Taarof
EMNLP 2025
What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization
ACL 2025
What’s Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
EMNLP 2025
What the #?*!: Disentangling Hate Across Target Identities
NAACL 2025
What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection
EMNLP 2025
When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract)
AAAI 2025
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning
EMNLP 2025
WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts
NAACL 2025
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases
EMNLP 2025
Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations
IJCNLP 2025
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
ACL 2025
Who Holds the Pen? Caricature and Perspective in LLM Retellings of History
EMNLP 2025
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
EMNLP 2025
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
AAAI 2025
Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
ACL 2025
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone
AAAI 2025