Cover Image

Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vicsek, Lilla, Vancsó, Anna, Zajko, Mike, Takacs, Judit
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
by: Ko, Changgeon, et al.
Published: (2024)

The Responsible Development of Automated Student Feedback with Generative AI
by: Lindsay, Euan D, et al.
Published: (2023)

AI Diffusion in Low Resource Language Countries
by: Misra, Amit, et al.
Published: (2025)

Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations
by: Sadeghiani, Ayoob
Published: (2024)

Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
by: Atif, Farah, et al.
Published: (2025)

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping
by: Bahl, Rajiv, et al.
Published: (2025)

Sacred or Secular? Religious Bias in AI-Generated Financial Advice
by: Khan, Muhammad Salar, et al.
Published: (2025)

Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
by: Wang, Xing, et al.
Published: (2025)

Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers
by: Liu, Geng, et al.
Published: (2025)

Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context
by: Pandey, Ashish, et al.
Published: (2026)

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs)
by: Neumann, Anna, et al.
Published: (2025)

ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages
by: Ghosh, Sourojit, et al.
Published: (2023)

InsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation
by: Wan, Yixin, et al.
Published: (2025)

"I understand why I got this grade": Automatic Short Answer Grading with Feedback
by: Aggarwal, Dishank, et al.
Published: (2024)

Why They Disagree: Decoding Differences in Opinions about AI Risk on the Lex Fridman Podcast
by: Truong, Nghi, et al.
Published: (2025)

Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)

When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models
by: Venkata, Pruthvinath Jeripity
Published: (2026)

Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
by: Wasi, Azmine Toushik, et al.
Published: (2024)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
by: Chand, Shireen, et al.
Published: (2025)

Impacts of Racial Bias in Historical Training Data for News AI
by: Bhargava, Rahul, et al.
Published: (2025)

Social Bias in Popular Question-Answering Benchmarks
by: Kraft, Angelie, et al.
Published: (2025)

Explainability and Certification of AI-Generated Educational Assessments
by: Yaacoub, Antoun, et al.
Published: (2026)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Berta: an open-source, modular tool for AI-enabled clinical documentation
by: Vaid, Samridhi, et al.
Published: (2026)

Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)

Perceived Political Bias in LLMs Reduces Persuasive Abilities
by: DiGiuseppe, Matthew, et al.
Published: (2026)

EtiCor++: Towards Understanding Etiquettical Bias in LLMs
by: Dwivedi, Ashutosh, et al.
Published: (2025)

Measuring Human Contribution in AI-Assisted Content Generation
by: Xie, Yueqi, et al.
Published: (2024)

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
by: Najjar, Ayat A., et al.
Published: (2025)

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

The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
by: Kraft, Angelie, et al.
Published: (2022)

AccessEval: Benchmarking Disability Bias in Large Language Models
by: Panda, Srikant, et al.
Published: (2025)

Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
by: Wei, Kangda, et al.
Published: (2025)

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
by: Fernandes, Gustavo Lúcius, et al.
Published: (2026)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring
by: Guo, Shuchen, et al.
Published: (2025)

How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses
by: Urchs, Stefanie, et al.
Published: (2023)

Developing Story: Case Studies of Generative AI's Use in Journalism
by: Brigham, Natalie Grace, et al.
Published: (2024)

Effect of Gender Fair Job Description on Generative AI Images
by: Böckling, Finn, et al.
Published: (2025)

General Scales Unlock AI Evaluation with Explanatory and Predictive Power
by: Zhou, Lexin, et al.
Published: (2025)

Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum
by: Acharya, Pratyush, et al.
Published: (2026)