Cover Image

Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Queloz, Matthieu
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can AI Rely on the Systematicity of Truth? The Challenge of Modelling Normative Domains
by: Queloz, Matthieu
Published: (2025)

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
by: Mersha, Melkamu, et al.
Published: (2024)

Mechanistic Indicators of Understanding in Large Language Models
by: Beckmann, Pierre, et al.
Published: (2025)

Statutory Construction and Interpretation for Artificial Intelligence
by: He, Luxi, et al.
Published: (2025)

Artificial Intelligence in Elementary STEM Education: A Systematic Review of Current Applications and Future Challenges
by: Memari, Majid, et al.
Published: (2025)

Systematic Literature Review: Explainable AI Definitions and Challenges in Education
by: Altukhi, Zaid M., et al.
Published: (2025)

The Third Ambition: Artificial Intelligence and the Science of Human Behavior
by: Neuman, W. Russell, et al.
Published: (2026)

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

Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis
by: Hernandes, Raphael, et al.
Published: (2024)

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

AI-Assisted Systematization for Evaluating GenAI Systems
by: Agarwal, Dhruv, et al.
Published: (2026)

Large Language Model for Mental Health: A Systematic Review
by: Guo, Zhijun, et al.
Published: (2024)

Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications
by: Casabianca, Jodi M., et al.
Published: (2025)

Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI
by: Baciak, Mark, et al.
Published: (2026)

The Literature Review Network: An Explainable Artificial Intelligence for Systematic Literature Reviews, Meta-analyses, and Method Development
by: Morriss, Joshua, et al.
Published: (2024)

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
by: Yu, Xiaomin, et al.
Published: (2024)

Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)

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

Citizenship Challenges in Artificial Intelligence Education
by: Romero, Margarida
Published: (2025)

Reciprocal Trust and Distrust in Artificial Intelligence Systems: The Hard Problem of Regulation
by: Maggetti, Martino
Published: (2026)

Ten Hard Problems in Artificial Intelligence We Must Get Right
by: Leech, Gavin, et al.
Published: (2024)

From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training
by: Yuan, Yuan, et al.
Published: (2025)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
by: McIntosh, Timothy R., et al.
Published: (2024)

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
by: Liu, Haokun, et al.
Published: (2025)

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)

Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
by: Sun, Yuxi, et al.
Published: (2025)

A Survey of Accessible Explainable Artificial Intelligence Research
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2024)

False Sense of Security in Explainable Artificial Intelligence (XAI)
by: Chung, Neo Christopher, et al.
Published: (2024)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
by: Ferrara, Emilio
Published: (2023)

Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder: A Human-in-the-Loop Approach
by: Jouneghani, Maziar Kianimoghadam
Published: (2026)

Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions
by: Ożegalska-Łukasik, Natalia, et al.
Published: (2023)

DBOT: Artificial Intelligence for Systematic Long-Term Investing
by: Dhar, Vasant, et al.
Published: (2025)

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

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
by: Guldimann, Philipp, et al.
Published: (2024)

Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances
by: Alvi, Riasad, et al.
Published: (2025)

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI
by: Pavlidis, Georgios
Published: (2025)

Attributions toward Artificial Agents in a modified Moral Turing Test
by: Aharoni, Eyal, et al.
Published: (2024)

Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
by: Rico-Juan, Juan Ramón, et al.
Published: (2024)

A Unified Framework to Quantify Cultural Intelligence of AI
by: Dev, Sunipa, et al.
Published: (2026)

Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review
by: Pang, Rock Yuren, et al.
Published: (2025)