Co-occurring keywords · papers mentioning both
Papers
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
CVPR 2026
Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges
AAAI 2026
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias
AAAI 2026
Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation
AAAI 2026
Digital Gatekeepers: Google’s Role in Curating Hashtags and Subreddits
ACL 2025
Fair Training with Zero Inputs
AAAI 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
The Impact of Name Age Perception on Job Recommendations in LLMs
ACL 2025
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone
AAAI 2025
Adventures of Trustworthy Vision-Language Models: A Survey
AAAI 2024
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
NeurIPS 2024
Can Language Models Guess Your Identity? Analyzing Demographic Biases in AI Essay Scoring
NAACL 2024
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
ACL 2024
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
NAACL 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
IJCAI 2024
Fairness in Automated Essay Scoring: A Comparative Analysis of Algorithms on German Learner Essays from Secondary Education
NAACL 2024
Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions
AAAI 2024
Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs
WACV 2024
Performative Ethics From Within the Ivory Tower: How CSPractitioners Uphold Systems of Oppression (Abstract Reprint)
IJCAI 2024
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
EMNLP 2024
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
ICCV 2023
Beyond the AI hype: Balancing Innovation and Social Responsibility
Interspeech 2023
Bias On Demand: Investigating Bias with a Synthetic Data Generator
IJCAI 2023
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
NeurIPS 2023