Image de couverture de livre

When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Venkata, Pruthvinath Jeripity
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Do Models Know Why They Changed Their Mind? Interpretability and Faithfulness of Chain-of-Thought Under Knowledge Conflict
par: Venkata, Pruthvinath Jeripity
Publié: (2026)

Three Regimes of Context-Parametric Conflict: A Predictive Framework and Empirical Validation
par: Venkata, Pruthvinath Jeripity
Publié: (2026)

Reinforcement Learning from Human Feedback: Whose Culture, Whose Values, Whose Perspectives?
par: Barman, Kristian González, et autres
Publié: (2024)

Whose Morality Do They Speak? Unraveling Cultural Bias in Multilingual Language Models
par: Aksoy, Meltem
Publié: (2024)

Cross-Language Bias Examination in Large Language Models
par: Liang, Yuxuan, et autres
Publié: (2025)

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias
par: Sakhawat, Adib, et autres
Publié: (2026)

AuditWen:An Open-Source Large Language Model for Audit
par: Huang, Jiajia, et autres
Publié: (2024)

Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
par: Rao, Pooja S. B., et autres
Publié: (2025)

What's in a Name? Auditing Large Language Models for Race and Gender Bias
par: Salinas, Alejandro, et autres
Publié: (2024)

Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
par: Ren, Ruiping, et autres
Publié: (2024)

Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
par: Jinnai, Yuu
Publié: (2024)

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
par: Xu, Yue, et autres
Publié: (2025)

PRISM: A Methodology for Auditing Biases in Large Language Models
par: Azzopardi, Leif, et autres
Publié: (2024)

Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context
par: Pandey, Ashish, et autres
Publié: (2026)

When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools
par: Li, Xingming, et autres
Publié: (2026)

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
par: Qiu, Peiran, et autres
Publié: (2025)

AccessEval: Benchmarking Disability Bias in Large Language Models
par: Panda, Srikant, et autres
Publié: (2025)

Gender Bias in Machine Translation and The Era of Large Language Models
par: Vanmassenhove, Eva
Publié: (2024)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
par: Greco, Candida M., et autres
Publié: (2026)

AI Act and Large Language Models (LLMs): When critical issues and privacy impact require human and ethical oversight
par: Fabiano, Nicola
Publié: (2024)

Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models
par: Singh, Smriti, et autres
Publié: (2024)

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
par: Neumann, Anna, et autres
Publié: (2025)

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
par: Salinas, Abel, et autres
Publié: (2023)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
par: Wang, Ze, et autres
Publié: (2024)

Does Claude's Constitution Have a Culture?
par: Pourdavood, Parham
Publié: (2026)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
par: Kiet, Huynh Trung, et autres
Publié: (2026)

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
par: Banerjee, Somnath, et autres
Publié: (2024)

Prompt Engineering Techniques for Mitigating Cultural Bias Against Arabs and Muslims in Large Language Models: A Systematic Review
par: Asseri, Bushra, et autres
Publié: (2025)

When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models
par: Navneet, Satyam Kumar, et autres
Publié: (2026)

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
par: Jiang, Han, et autres
Publié: (2024)

Bias and Fairness in Large Language Models: A Survey
par: Gallegos, Isabel O., et autres
Publié: (2023)

Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
par: Zeng, Yifan, et autres
Publié: (2024)

Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
par: Shin, Jisu, et autres
Publié: (2024)

Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
par: Xu, Rongwu, et autres
Publié: (2024)

More is More: Addition Bias in Large Language Models
par: Santagata, Luca, et autres
Publié: (2024)

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
par: Xu, Xin, et autres
Publié: (2025)

Classroom AI: Large Language Models as Grade-Specific Teachers
par: Oh, Jio, et autres
Publié: (2026)

LocalValueBench: A Collaboratively Built and Extensible Benchmark for Evaluating Localized Value Alignment and Ethical Safety in Large Language Models
par: Meadows, Gwenyth Isobel, et autres
Publié: (2024)

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
par: Duan, Shitong, et autres
Publié: (2023)

Beyond Instrumental and Substitutive Paradigms: Introducing Machine Culture as an Emergent Phenomenon in Large Language Models
par: Hu, Yueqing, et autres
Publié: (2026)