FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
Fuente:
arXiv
Saved in:
| Main Authors: | Wen, Athena, Patil, Tanush, Saxena, Ansh, Fu, Yicheng, O'Brien, Sean, Zhu, Kevin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
by: Xiong, Lang, et al.
Published: (2025)
by: Xiong, Lang, et al.
Published: (2025)
Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration
by: Begin, James, et al.
Published: (2025)
by: Begin, James, et al.
Published: (2025)
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
by: Mirza, Imran, et al.
Published: (2025)
by: Mirza, Imran, et al.
Published: (2025)
Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
by: Webster, Kevin T
Published: (2025)
by: Webster, Kevin T
Published: (2025)
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education
by: Iso, Hayate, et al.
Published: (2025)
by: Iso, Hayate, et al.
Published: (2025)
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
by: Wilson, Kyra, et al.
Published: (2024)
by: Wilson, Kyra, et al.
Published: (2024)
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks
by: Yugeswardeenoo, Dharunish, et al.
Published: (2024)
by: Yugeswardeenoo, Dharunish, et al.
Published: (2024)
Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language Models
by: Zhang, Glenn, et al.
Published: (2025)
by: Zhang, Glenn, et al.
Published: (2025)
Improving LLM Abilities in Idiomatic Translation
by: Donthi, Sundesh, et al.
Published: (2024)
by: Donthi, Sundesh, et al.
Published: (2024)
View From Above: A Framework for Evaluating Distribution Shifts in Model Behavior
by: Chopra, Tanush, et al.
Published: (2024)
by: Chopra, Tanush, et al.
Published: (2024)
Causal Language Control in Multilingual Transformers via Sparse Feature Steering
by: Chou, Cheng-Ting, et al.
Published: (2025)
by: Chou, Cheng-Ting, et al.
Published: (2025)
Gender and Positional Biases in LLM-Based Hiring Decisions: Evidence from Comparative CV/Résumé Evaluations
by: Rozado, David
Published: (2025)
by: Rozado, David
Published: (2025)
Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
by: Nghiem, Huy, et al.
Published: (2026)
by: Nghiem, Huy, et al.
Published: (2026)
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
by: Khalid, Haziq Mohammad, et al.
Published: (2025)
by: Khalid, Haziq Mohammad, et al.
Published: (2025)
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
by: Tang, Kunsheng, et al.
Published: (2024)
by: Tang, Kunsheng, et al.
Published: (2024)
Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations
by: Dimgba, Martha O., et al.
Published: (2025)
by: Dimgba, Martha O., et al.
Published: (2025)
Dissecting Persona-Driven Reasoning in Language Models via Activation Patching
by: Poonia, Ansh, et al.
Published: (2025)
by: Poonia, Ansh, et al.
Published: (2025)
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
by: Li, Jason, et al.
Published: (2025)
by: Li, Jason, et al.
Published: (2025)
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning
by: Rufail, Andrew, et al.
Published: (2025)
by: Rufail, Andrew, et al.
Published: (2025)
Impacts of Racial Bias in Historical Training Data for News AI
by: Bhargava, Rahul, et al.
Published: (2025)
by: Bhargava, Rahul, et al.
Published: (2025)
Assessing Personalized AI Mentoring with Large Language Models in the Computing Field
by: Luo, Xiao, et al.
Published: (2024)
by: Luo, Xiao, et al.
Published: (2024)
Are Bias Evaluation Methods Biased ?
by: Berrayana, Lina, et al.
Published: (2025)
by: Berrayana, Lina, et al.
Published: (2025)
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards
by: Patil, Avinash
Published: (2025)
by: Patil, Avinash
Published: (2025)
Locating and Mitigating Gender Bias in Large Language Models
by: Cai, Yuchen, et al.
Published: (2024)
by: Cai, Yuchen, et al.
Published: (2024)
Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes
by: Powers, Maximus, et al.
Published: (2024)
by: Powers, Maximus, et al.
Published: (2024)
FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity
by: Jourdan, Fanny, et al.
Published: (2025)
by: Jourdan, Fanny, et al.
Published: (2025)
Spotlights and Blindspots: Evaluating Machine-Generated Text Detection
by: Stowe, Kevin, et al.
Published: (2026)
by: Stowe, Kevin, et al.
Published: (2026)
AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
by: Lo, Frank P. -W., et al.
Published: (2025)
by: Lo, Frank P. -W., et al.
Published: (2025)
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
by: Gupta, Abhay, et al.
Published: (2024)
by: Gupta, Abhay, et al.
Published: (2024)
NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts
by: Gupta, Abhay, et al.
Published: (2025)
by: Gupta, Abhay, et al.
Published: (2025)
Identifying Bias in Machine-generated Text Detection
by: Stowe, Kevin, et al.
Published: (2025)
by: Stowe, Kevin, et al.
Published: (2025)
ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
by: Heakl, Ahmed, et al.
Published: (2024)
by: Heakl, Ahmed, et al.
Published: (2024)
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
by: Xu, Yue, et al.
Published: (2025)
by: Xu, Yue, et al.
Published: (2025)
MatheMagic: Generating Dynamic Mathematics Benchmarks Robust to Memorization
by: O'Brien, Dayyán, et al.
Published: (2025)
by: O'Brien, Dayyán, et al.
Published: (2025)
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models
by: Rawat, Rajat, et al.
Published: (2024)
by: Rawat, Rajat, et al.
Published: (2024)
Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
by: Tice, Cameron, et al.
Published: (2026)
by: Tice, Cameron, et al.
Published: (2026)
Reasoning Relay: Evaluating Stability and Interchangeability of Large Language Models in Mathematical Reasoning
by: Lu, Leo, et al.
Published: (2025)
by: Lu, Leo, et al.
Published: (2025)
Gender Bias in LLM-generated Interview Responses
by: Kong, Haein, et al.
Published: (2024)
by: Kong, Haein, et al.
Published: (2024)
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
AI Security Beyond Core Domains: Resume Screening as a Case Study of Adversarial Vulnerabilities in Specialized LLM Applications
by: Mu, Honglin, et al.
Published: (2025)
by: Mu, Honglin, et al.
Published: (2025)
Similar Items
-
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
by: Xiong, Lang, et al.
Published: (2025) -
Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration
by: Begin, James, et al.
Published: (2025) -
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
by: Mirza, Imran, et al.
Published: (2025) -
Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening
by: Webster, Kevin T
Published: (2025) -
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education
by: Iso, Hayate, et al.
Published: (2025)