Cover Image

Outraged AI: Large language models prioritise emotion over cost in fairness enforcement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Hao, Dai, Yiqing, Tan, Haotian, Lei, Yu, Zhou, Yujia, Wu, Zhen
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Augmenting emotion features in irony detection with Large language modeling
by: Lin, Yucheng, et al.
Published: (2024)

Large language models show fragile cognitive reasoning about human emotions
by: Bhattacharyya, Sree, et al.
Published: (2025)

A survey on fairness of large language models in e-commerce: progress, application, and challenge
by: Ren, Qingyang, et al.
Published: (2024)

Defining bias in AI-systems: Biased models are fair models
by: Lindloff, Chiara, et al.
Published: (2025)

Large language model empowered participatory urban planning
by: Zhou, Zhilun, et al.
Published: (2024)

Data and AI governance: Promoting equity, ethics, and fairness in large language models
by: Abhishek, Alok, et al.
Published: (2025)

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
by: Zhou, Yujia, et al.
Published: (2024)

Large language models and linguistic intentionality
by: Grindrod, Jumbly
Published: (2024)

The language of time: a language model perspective on time-series foundation models
by: Xie, Yi, et al.
Published: (2025)

AI shares emotion with humans across languages and cultures
by: Wu, Xiuwen, et al.
Published: (2025)

A benchmark for joint dialogue satisfaction, emotion recognition, and emotion state transition prediction
by: Bian, Jing, et al.
Published: (2026)

Large language models management of medications: three performance analyses
by: Henry, Kelli, et al.
Published: (2025)

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
by: Su, Weihang, et al.
Published: (2024)

Research on emotionally intelligent dialogue generation based on automatic dialogue system
by: Wang, Jin, et al.
Published: (2024)

Large language models struggle with ethnographic text annotation
by: Goodall, Leonardo S., et al.
Published: (2026)

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

Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
by: Li, Zhaoyan, et al.
Published: (2026)

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
by: Yu, Huimu, et al.
Published: (2024)

DebugBench: Evaluating Debugging Capability of Large Language Models
by: Tian, Runchu, et al.
Published: (2024)

From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition
by: Zhou, Yiqing, et al.
Published: (2025)

Multi-round jailbreak attack on large language models
by: Zhou, Yihua, et al.
Published: (2024)

Large language model for Bible sentiment analysis: Sermon on the Mount
by: Vora, Mahek, et al.
Published: (2024)

Large language models in healthcare and medical domain: A review
by: Nazi, Zabir Al, et al.
Published: (2023)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
by: Jiang, Bohan, et al.
Published: (2024)

Large language models in medicine: the potentials and pitfalls
by: Omiye, Jesutofunmi A., et al.
Published: (2023)

Humans overrely on overconfident language models, across languages
by: Rathi, Neil, et al.
Published: (2025)

Moral Outrage Shapes Commitments Beyond Attention: Multimodal Moral Emotions on YouTube in Korea and the US
by: Park, Seongchan, et al.
Published: (2026)

Streamlining evidence based clinical recommendations with large language models
by: Li, Dubai, et al.
Published: (2025)

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis
by: Gao, Yubo, et al.
Published: (2025)

Infusing clinical knowledge into tokenisers for language models
by: Hasan, Abul, et al.
Published: (2024)

Dissociating language and thought in large language models
by: Mahowald, Kyle, et al.
Published: (2023)

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study
by: Zhu, Shuqi, et al.
Published: (2026)

Benchmarking GPT-5 for biomedical natural language processing
by: Hou, Yu, et al.
Published: (2025)

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education
by: Yu, Huizi, et al.
Published: (2024)

Persona-Aware Alignment Framework for Personalized Dialogue Generation
by: Li, Guanrong, et al.
Published: (2025)

Slm-mux: Orchestrating small language models for reasoning
by: Wang, Chenyu, et al.
Published: (2025)

PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation
by: Aithal, Manjushree B., et al.
Published: (2026)

Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning
by: Zimmerman, Julia Witte, et al.
Published: (2024)

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
by: Sun, Haotian, et al.
Published: (2024)