Cover Image

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Liu, Sierra S.
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Consistency-Acceptability Divergence of LLMs in Judicial Decision-Making: Task and Stakeholder Dimensions
by: MingDa, Zhang, et al.
Published: (2025)

ZPD-SCA: Unveiling the Blind Spots of LLMs in Assessing Students' Cognitive Abilities
by: Dong, Wenhan, et al.
Published: (2025)

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
by: Ghosh, Rajarshi, et al.
Published: (2025)

Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
by: de Landa, Joseba Fernandez, et al.
Published: (2026)

Persuadability and LLMs as Legal Decision Tools
by: Suttle, Oisin, et al.
Published: (2026)

LLM Biases
by: Han, Jinhui, et al.
Published: (2026)

Judicial Permission
by: Governatori, Guido, et al.
Published: (2025)

"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
by: Karr Jr., Jonathan A., et al.
Published: (2025)

OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
by: Gao, Xian, et al.
Published: (2025)

Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems
by: Ide, Shun, et al.
Published: (2024)

Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents
by: Morocho, Erika Elizabeth Taday, et al.
Published: (2026)

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

Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
by: Mavi, John, et al.
Published: (2024)

Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language Models
by: Raiyan, Syed Rifat
Published: (2026)

Supporting Students' Reading and Cognition with AI
by: Fu, Yue, et al.
Published: (2025)

WARBENCH: A Comprehensive Benchmark for Evaluating LLMs in Military Decision-Making
by: Li, Zongjie, et al.
Published: (2026)

Theory Trace Card: Theory-Driven Socio-Cognitive Evaluation of LLMs
by: Karimi-Malekabadi, Farzan, et al.
Published: (2026)

Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?
by: Sun, Ron
Published: (2024)

Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
by: Tripathy, Jagdish, et al.
Published: (2026)

Whose Journey Matters? Investigating Identity Biases in Large Language Models (LLMs) for Travel Planning Assistance
by: Ren, Ruiping, et al.
Published: (2024)

White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
by: Wan, Yixin, et al.
Published: (2024)

Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health
by: Moukheiber, Mira, et al.
Published: (2025)

The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management
by: Azie, Somtochukwu, et al.
Published: (2025)

Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
by: Allaham, Mowafak, et al.
Published: (2024)

Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review
by: Sharma, Vibhhu, et al.
Published: (2026)

MoPHES:Leveraging on-device LLMs as Agent for Mobile Psychological Health Evaluation and Support
by: Wei, Xun, et al.
Published: (2025)

Exploring Cognitive Attributes in Financial Decision-Making
by: Mainali, Mallika, et al.
Published: (2025)

Sociodemographic Biases in Educational Counselling by Large Language Models
by: Adamczyk, Tomasz, et al.
Published: (2026)

ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults
by: Yang, Zhengbang, et al.
Published: (2025)

Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims
by: Wang, Kanlun, et al.
Published: (2025)

Investigating Associational Biases in Inter-Model Communication of Large Generative Models
by: Dogan, Fethiye Irmak, et al.
Published: (2026)

Learning Personalized Decision Support Policies
by: Bhatt, Umang, et al.
Published: (2023)

Large Language Models Develop Novel Social Biases Through Adaptive Exploration
by: Wu, Addison J., et al.
Published: (2025)

Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
by: Li, Ming, et al.
Published: (2023)

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

From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
by: Chen, Ruxiao, et al.
Published: (2025)

Can AI Models be Jailbroken to Phish Elderly Victims? An End-to-End Evaluation
by: Heiding, Fred, et al.
Published: (2025)

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese
by: Kulkarni, Ajinkya, et al.
Published: (2024)

LLMs left, right, and center: Assessing GPT's capabilities to label political bias from web domains
by: Hernandes, Raphael, et al.
Published: (2024)