Copertina

Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Xiao, Jia
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
di: Xu, Jiannan, et al.
Pubblicazione: (2025)

Algorithmic Monocultures in Hiring
di: Bommasani, Rishi, et al.
Pubblicazione: (2026)

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

Strategic Hiring under Algorithmic Monoculture
di: Baek, Jackie, et al.
Pubblicazione: (2025)

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

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

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

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

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

Of the People, By the Algorithm: How AI Transforms Democratic Representation
di: Rymon, Yuval
Pubblicazione: (2025)

Structural Interventions and the Dynamics of Inequality
di: Zhang, Aurora, et al.
Pubblicazione: (2024)

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

Hiring Strategies
di: Krapivsky, P. L.
Pubblicazione: (2024)

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
di: Nghiem, Huy, et al.
Pubblicazione: (2026)

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

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

Reproducible workflow for online AI in digital health
di: Ghosh, Susobhan, et al.
Pubblicazione: (2025)

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

FrameRef: A Framing Dataset and Simulation Testbed for Modeling Bounded Rational Information Health
di: De Lima, Victor, et al.
Pubblicazione: (2026)

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

Harnessing AI in Secondary Education to Enhance Writing Competence
di: Elstad, Eyvind, et al.
Pubblicazione: (2024)

A Rational Analysis of the Effects of Sycophantic AI
di: Batista, Rafael M., et al.
Pubblicazione: (2026)

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

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

A Reproducible Workflow for Scraping, Structuring, and Segmenting Legacy Archaeological Artifact Images
di: Palomeque-Gonzalez, Juan
Pubblicazione: (2025)

Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
di: Pataranutaporn, Pat, et al.
Pubblicazione: (2025)

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

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

The Hands-Up Problem and How to Deal With It: Secondary School Teachers' Experiences of Debugging in the Classroom
di: Gale, Laurie, et al.
Pubblicazione: (2025)

Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
di: Simson, Jan, et al.
Pubblicazione: (2025)

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

Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making
di: Salahshour, Mohammad
Pubblicazione: (2025)

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

Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI
di: Wu, John, et al.
Pubblicazione: (2026)

Regret, Uncertainty, and Bounded Rationality in Norm-Driven Decisions
di: Charalambous, Christos
Pubblicazione: (2025)

AI-Generated Algorithmic Virality
di: Stanusch, Natalia, et al.
Pubblicazione: (2025)

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education
di: Adedeji, Abidemi Kuburat, et al.
Pubblicazione: (2026)

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

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

Reproducibility Needs Reshape Scientific Data Governance
di: Meijer, Paul, et al.
Pubblicazione: (2024)