Imagen de Portada

AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xu, Jiannan, Li, Gujie, Jiang, Jane Yi
Formato:	Preprint
Publicado:	2025
Materias:	Computers and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Algorithmic Monocultures in Hiring
por: Bommasani, Rishi, et al.
Publicado: (2026)

Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring
por: Xiao, Jia
Publicado: (2025)

Strategic Hiring under Algorithmic Monoculture
por: Baek, Jackie, et al.
Publicado: (2025)

Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey
por: Fabris, Alessandro, et al.
Publicado: (2023)

Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring
por: Kaya, Mesut, et al.
Publicado: (2025)

AI Alignment Amplifies the Role of Race, Gender, and Disability in Hiring Decisions
por: Wang, Ze, et al.
Publicado: (2026)

Gender and Positional Biases in LLM-Based Hiring Decisions: Evidence from Comparative CV/Résumé Evaluations
por: Rozado, David
Publicado: (2025)

Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring
por: He, Changyang, et al.
Publicado: (2026)

Hiring Strategies
por: Krapivsky, P. L.
Publicado: (2024)

How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications
por: Sharma, Gauri, et al.
Publicado: (2026)

The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
por: Armstrong, Lena, et al.
Publicado: (2024)

Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions
por: Anzenberg, Eitan, et al.
Publicado: (2025)

Where are GIScience Faculty Hired from? Analyzing Faculty Mobility and Research Themes Through Hiring Networks
por: Chen, Yanbing, et al.
Publicado: (2025)

Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens
por: AlKhamissi, Mai, et al.
Publicado: (2025)

Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers
por: Armstrong, Lena, et al.
Publicado: (2025)

Measuring Creativity in the Age of Generative AI: Distinguishing Human and AI-Generated Creative Performance in Hiring and Talent Systems
por: Rosen, Yigal, et al.
Publicado: (2026)

Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring Decisions
por: Bhattacharya, Aditya, et al.
Publicado: (2025)

How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework
por: Nguyen, Tin, et al.
Publicado: (2025)

Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
por: Choi, Sooyung, et al.
Publicado: (2025)

The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
por: Zhang, Renwen, et al.
Publicado: (2024)

Irrelevant Alternatives Bias Large Language Model Hiring Decisions
por: Valkanova, Kremena, et al.
Publicado: (2024)

Mutual Wanting in Human--AI Interaction: Empirical Evidence from Large-Scale Analysis of GPT Model Transitions
por: Shang, HaoYang, et al.
Publicado: (2025)

Quantitative Insights into Large Language Model Usage and Trust in Academia: An Empirical Study
por: Jung, Minseok, et al.
Publicado: (2024)

Demonstrative Evidence and the Use of Algorithms in Jury Trials
por: Rogers, Rachel, et al.
Publicado: (2023)

Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Review
por: Li, Wenlong, et al.
Publicado: (2023)

Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
por: Rao, Pooja S. B., et al.
Publicado: (2025)

Early Results from Teaching Modelling for Software Comprehension in New-Hire Onboarding
por: Kumar, Mrityunjay, et al.
Publicado: (2025)

How Students Use AI Feedback Matters: Experimental Evidence on Physics Achievement and Autonomy
por: Dai, Xusheng, et al.
Publicado: (2025)

Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity
por: Dwork, Cynthia, et al.
Publicado: (2024)

AI-Generated Algorithmic Virality
por: Stanusch, Natalia, et al.
Publicado: (2025)

Beyond the Human-AI Binaries: Advanced Writers' Self-Directed Use of Generative AI in Academic Writing
por: Wang, Chaoran, et al.
Publicado: (2025)

Small Changes, Big Impact: Demographic Bias in LLM-Based Hiring Through Subtle Sociocultural Markers in Anonymised Resumes
por: Tan, Bryan Chen Zhengyu, et al.
Publicado: (2026)

Advancing Science- and Evidence-based AI Policy
por: Bommasani, Rishi, et al.
Publicado: (2025)

Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
por: Saldivar, Jorge, et al.
Publicado: (2025)

Pitfalls of Evidence-Based AI Policy
por: Casper, Stephen, et al.
Publicado: (2025)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
por: Wang, Ze, et al.
Publicado: (2024)

No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy
por: Wilson, Kyra, et al.
Publicado: (2025)

The Role of AI in Facilitating Interdisciplinary Collaboration: Evidence from AlphaFold
por: Zhao, Naixuan, et al.
Publicado: (2025)

From Algorithm Worship to the Art of Human Learning: Insights from 50-year journey of AI in Education
por: Porayska-Pomsta, Kaska
Publicado: (2024)

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
por: Phutane, Mahika, et al.
Publicado: (2025)