Epistemic Constitutionalism Or: how to avoid coherence bias
Fuente:
arXiv
Saved in:
| Main Author: | Loi, Michele |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A closer look at how large language models trust humans: patterns and biases
by: Lerman, Valeria, et al.
Published: (2025)
by: Lerman, Valeria, et al.
Published: (2025)
The Polite Liar: Epistemic Pathology in Language Models
by: DeVilling, Bentley
Published: (2025)
by: DeVilling, Bentley
Published: (2025)
Does Claude's Constitution Have a Culture?
by: Pourdavood, Parham
Published: (2026)
by: Pourdavood, Parham
Published: (2026)
Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
by: Cheng, Myra, et al.
Published: (2026)
by: Cheng, Myra, et al.
Published: (2026)
Defining bias in AI-systems: Biased models are fair models
by: Lindloff, Chiara, et al.
Published: (2025)
by: Lindloff, Chiara, et al.
Published: (2025)
Evaluating how LLM annotations represent diverse views on contentious topics
by: Brown, Megan A., et al.
Published: (2025)
by: Brown, Megan A., et al.
Published: (2025)
The why, what, and how of AI-based coding in scientific research
by: Zhuang, Tonghe, et al.
Published: (2024)
by: Zhuang, Tonghe, et al.
Published: (2024)
An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
by: Chandra, Rohitash, et al.
Published: (2026)
by: Chandra, Rohitash, et al.
Published: (2026)
LLMs left, right, and center: Assessing GPT's capabilities to label political bias from web domains
by: Hernandes, Raphael, et al.
Published: (2024)
by: Hernandes, Raphael, et al.
Published: (2024)
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)
by: Shin, Jisu, et al.
Published: (2024)
The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers
by: İlter, H. Kemal
Published: (2026)
by: İlter, H. Kemal
Published: (2026)
When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure
by: Xiao, Boyu, et al.
Published: (2026)
by: Xiao, Boyu, et al.
Published: (2026)
Evaluating GPT-3.5's Awareness and Summarization Abilities for European Constitutional Texts with Shared Topics
by: Greco, Candida M., et al.
Published: (2024)
by: Greco, Candida M., et al.
Published: (2024)
When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
by: Dietrich, Juergen
Published: (2026)
by: Dietrich, Juergen
Published: (2026)
Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
by: Zhu, Shanshan, et al.
Published: (2026)
by: Zhu, Shanshan, et al.
Published: (2026)
Epistemic Diversity and Knowledge Collapse in Large Language Models
by: Wright, Dustin, et al.
Published: (2025)
by: Wright, Dustin, et al.
Published: (2025)
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
by: Balestri, Roberto
Published: (2025)
by: Balestri, Roberto
Published: (2025)
PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology
by: De Duro, Edoardo Sebastiano, et al.
Published: (2024)
by: De Duro, Edoardo Sebastiano, et al.
Published: (2024)
What are human values, and how do we align AI to them?
by: Klingefjord, Oliver, et al.
Published: (2024)
by: Klingefjord, Oliver, et al.
Published: (2024)
Epistemic Deference to AI
by: Lange, Benjamin
Published: (2025)
by: Lange, Benjamin
Published: (2025)
Corporations Constitute Intelligence
by: Abiri, Gilad
Published: (2026)
by: Abiri, Gilad
Published: (2026)
Public Constitutional AI
by: Abiri, Gilad
Published: (2024)
by: Abiri, Gilad
Published: (2024)
Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms
by: Loi, Michele, et al.
Published: (2025)
by: Loi, Michele, et al.
Published: (2025)
Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior
by: Ardebili, Ali Aghazadeh, et al.
Published: (2026)
by: Ardebili, Ali Aghazadeh, et al.
Published: (2026)
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
by: Borges, Beatriz, et al.
Published: (2024)
by: Borges, Beatriz, et al.
Published: (2024)
Hanging in the Balance: Pivotal Moments in Crisis Counseling Conversations
by: Nguyen, Vivian, et al.
Published: (2025)
by: Nguyen, Vivian, et al.
Published: (2025)
Fluent but Foreign: Even Regional LLMs Lack Cultural Alignment
by: Agarwal, Dhruv, et al.
Published: (2025)
by: Agarwal, Dhruv, et al.
Published: (2025)
From Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social Sciences
by: Huang, Yi-Chih
Published: (2026)
by: Huang, Yi-Chih
Published: (2026)
VILLAIN at AVerImaTeC: Verifying Image-Text Claims via Multi-Agent Collaboration
by: Jung, Jaeyoon, et al.
Published: (2026)
by: Jung, Jaeyoon, et al.
Published: (2026)
"Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most
by: Zhou, Kaitlyn, et al.
Published: (2026)
by: Zhou, Kaitlyn, et al.
Published: (2026)
On the Credibility of Evaluating LLMs using Survey Questions
by: Libovický, Jindřich
Published: (2026)
by: Libovický, Jindřich
Published: (2026)
Efficient Multilingual Name Type Classification Using Convolutional Networks
by: Lauc, Davor
Published: (2026)
by: Lauc, Davor
Published: (2026)
StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs
by: Jeune, Pierre Le, et al.
Published: (2026)
by: Jeune, Pierre Le, et al.
Published: (2026)
From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents
by: Qu, Jinxian, et al.
Published: (2026)
by: Qu, Jinxian, et al.
Published: (2026)
Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
Moral Mazes in the Era of LLMs
by: Nguyen, Dang, et al.
Published: (2026)
by: Nguyen, Dang, et al.
Published: (2026)
The AI Skills Shift: Mapping Skill Obsolescence, Emergence, and Transition Pathways in the LLM Era
by: Jadhav, Rudra, et al.
Published: (2026)
by: Jadhav, Rudra, et al.
Published: (2026)
CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
by: Yu, Xiangning, et al.
Published: (2026)
by: Yu, Xiangning, et al.
Published: (2026)
Magic, Madness, Heaven, Sin: LLM Output Diversity is Everything, Everywhere, All at Once
by: Dhingra, Harnoor
Published: (2026)
by: Dhingra, Harnoor
Published: (2026)
Similar Items
-
A closer look at how large language models trust humans: patterns and biases
by: Lerman, Valeria, et al.
Published: (2025) -
The Polite Liar: Epistemic Pathology in Language Models
by: DeVilling, Bentley
Published: (2025) -
Does Claude's Constitution Have a Culture?
by: Pourdavood, Parham
Published: (2026) -
Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
by: Cheng, Myra, et al.
Published: (2026) -
Defining bias in AI-systems: Biased models are fair models
by: Lindloff, Chiara, et al.
Published: (2025)