Saved in:
| Main Author: | Queloz, Matthieu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.09676 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
by: Queloz, Matthieu
Published: (2025)
by: Queloz, Matthieu
Published: (2025)
Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis
by: Chen, Chacha, et al.
Published: (2025)
by: Chen, Chacha, et al.
Published: (2025)
The Illusory Normativity of Rights-Based AI Regulation
by: Mei, Yiyang, et al.
Published: (2025)
by: Mei, Yiyang, et al.
Published: (2025)
Pluralism in AI Governance: Toward Sociotechnical Alignment and Normative Coherence
by: Nkongolo, Mike Wa
Published: (2026)
by: Nkongolo, Mike Wa
Published: (2026)
Artificial Intelligence Can Emulate Human Normative Judgments on Emotional Visual Scenes
by: Romeo, Zaira, et al.
Published: (2025)
by: Romeo, Zaira, et al.
Published: (2025)
Mechanistic Indicators of Understanding in Large Language Models
by: Beckmann, Pierre, et al.
Published: (2025)
by: Beckmann, Pierre, et al.
Published: (2025)
Relying on recent and temporally dispersed science predicts breakthrough inventions
by: Ke, Qing, et al.
Published: (2021)
by: Ke, Qing, et al.
Published: (2021)
Would You Rely on an Eerie Agent? A Systematic Review of the Impact of the Uncanny Valley Effect on Trust in Human-Agent Interaction
by: Alipour, Ahdiyeh, et al.
Published: (2025)
by: Alipour, Ahdiyeh, et al.
Published: (2025)
Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts
by: Yaacov, David-Doron
Published: (2025)
by: Yaacov, David-Doron
Published: (2025)
They Think AI Can Do More Than It Actually Can: Practices, Challenges, & Opportunities of AI-Supported Reporting In Local Journalism
by: Cifliku, Besjon, et al.
Published: (2026)
by: Cifliku, Besjon, et al.
Published: (2026)
Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
by: Jain, Shomik, et al.
Published: (2024)
by: Jain, Shomik, et al.
Published: (2024)
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
by: Zhang, Yunfei, et al.
Published: (2023)
by: Zhang, Yunfei, et al.
Published: (2023)
Whose Truth? Pluralistic Geo-Alignment for (Agentic) AI
by: Janowicz, Krzysztof, et al.
Published: (2025)
by: Janowicz, Krzysztof, et al.
Published: (2025)
Normative Evaluation of Large Language Models with Everyday Moral Dilemmas
by: Sachdeva, Pratik S., et al.
Published: (2025)
by: Sachdeva, Pratik S., et al.
Published: (2025)
Systematic Literature Review: Explainable AI Definitions and Challenges in Education
by: Altukhi, Zaid M., et al.
Published: (2025)
by: Altukhi, Zaid M., et al.
Published: (2025)
LEGOS-SLEEC: Tool for Formalizing and Analyzing Normative Requirements
by: Kolyakov, Kevin, et al.
Published: (2025)
by: Kolyakov, Kevin, et al.
Published: (2025)
Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation
by: Thomas, Danielle R., et al.
Published: (2025)
by: Thomas, Danielle R., et al.
Published: (2025)
Truth Knows No Language: Evaluating Truthfulness Beyond English
by: Figueras, Blanca Calvo, et al.
Published: (2025)
by: Figueras, Blanca Calvo, et al.
Published: (2025)
Normative active inference: A numerical proof of principle for a computational and economic legal analytic approach to AI governance
by: Constant, Axel, et al.
Published: (2025)
by: Constant, Axel, et al.
Published: (2025)
From Trust to Truth: Actionable policies for the use of AI in fact-checking in Germany and Ukraine
by: Solopova, Veronika
Published: (2025)
by: Solopova, Veronika
Published: (2025)
Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education
by: Thomas, Danielle R., et al.
Published: (2026)
by: Thomas, Danielle R., et al.
Published: (2026)
The ASIR Courage Model: A Phase-Dynamic Framework for Truth Transitions in Human and AI Systems
by: Kim, Hyo Jin
Published: (2026)
by: Kim, Hyo Jin
Published: (2026)
Research Integrity and GenAI: A Systematic Analysis of Ethical Challenges Across Research Phases
by: Bjelobaba, Sonja, et al.
Published: (2024)
by: Bjelobaba, Sonja, et al.
Published: (2024)
Scaling Truth: The Confidence Paradox in AI Fact-Checking
by: Qazi, Ihsan A., et al.
Published: (2025)
by: Qazi, Ihsan A., et al.
Published: (2025)
The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth
by: Ferrara, Emilio
Published: (2026)
by: Ferrara, Emilio
Published: (2026)
Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models
by: Ortu, Francesco, et al.
Published: (2026)
by: Ortu, Francesco, et al.
Published: (2026)
Epistemic Control and the Normativity of Machine Learning-Based Science
by: Ratti, Emanuele
Published: (2026)
by: Ratti, Emanuele
Published: (2026)
Dynamic Normativity: Necessary and Sufficient Conditions for Value Alignment
by: Corrêa, Nicholas Kluge
Published: (2024)
by: Corrêa, Nicholas Kluge
Published: (2024)
DeliberationBench: A Normative Benchmark for the Influence of Large Language Models on Users' Views
by: Hewitt, Luke, et al.
Published: (2026)
by: Hewitt, Luke, et al.
Published: (2026)
Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork
by: Xiao, Qing, et al.
Published: (2025)
by: Xiao, Qing, et al.
Published: (2025)
Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People
by: Seron-Abouelfadil, Nina, et al.
Published: (2026)
by: Seron-Abouelfadil, Nina, et al.
Published: (2026)
Can AI be Consentful?
by: Pistilli, Giada, et al.
Published: (2025)
by: Pistilli, Giada, et al.
Published: (2025)
Breaking Up with Normatively Monolithic Agency with GRACE: A Reason-Based Neuro-Symbolic Architecture for Safe and Ethical AI Alignment
by: Jahn, Felix, et al.
Published: (2026)
by: Jahn, Felix, et al.
Published: (2026)
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
by: Pandiani, Delfina Sol Martinez, et al.
Published: (2024)
by: Pandiani, Delfina Sol Martinez, et al.
Published: (2024)
Can AI be Auditable?
by: Verma, Himanshu, et al.
Published: (2025)
by: Verma, Himanshu, et al.
Published: (2025)
Blocking Mechanism of Porn Website in India: Claim and Truth
by: Pandey, Saurabh, et al.
Published: (2019)
by: Pandey, Saurabh, et al.
Published: (2019)
Truth Sleuth and Trend Bender: AI Agents to fact-check YouTube videos and influence opinions
by: Logé, Cécile, et al.
Published: (2025)
by: Logé, Cécile, et al.
Published: (2025)
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
by: Schirmer, Miriam, et al.
Published: (2024)
by: Schirmer, Miriam, et al.
Published: (2024)
Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
by: Kadioglu, Serdar, et al.
Published: (2024)
by: Kadioglu, Serdar, et al.
Published: (2024)
Aiming for AI Interoperability: Challenges and Opportunities
by: Faveri, Benjamin, et al.
Published: (2026)
by: Faveri, Benjamin, et al.
Published: (2026)
Similar Items
-
Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
by: Queloz, Matthieu
Published: (2025) -
Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis
by: Chen, Chacha, et al.
Published: (2025) -
The Illusory Normativity of Rights-Based AI Regulation
by: Mei, Yiyang, et al.
Published: (2025) -
Pluralism in AI Governance: Toward Sociotechnical Alignment and Normative Coherence
by: Nkongolo, Mike Wa
Published: (2026) -
Artificial Intelligence Can Emulate Human Normative Judgments on Emotional Visual Scenes
by: Romeo, Zaira, et al.
Published: (2025)