Cover Image

A Trustworthiness-based Metaphysics of Artificial Intelligence Systems

Fuente: arXiv

Saved in:

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

Similar Items

A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence
by: McCormack, Louise, et al.
Published: (2024)

The Metaphysics We Train: A Heideggerian Reading of Machine Learning
by: Shakeri, Heman
Published: (2025)

Responsible Artificial Intelligence: A Structured Literature Review
by: Goellner, Sabrina, et al.
Published: (2024)

The Pursuit of Fairness in Artificial Intelligence Models: A Survey
by: Kheya, Tahsin Alamgir, et al.
Published: (2024)

Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
by: Storey, Veda C., et al.
Published: (2025)

The Mirage of Artificial Intelligence Terms of Use Restrictions
by: Henderson, Peter, et al.
Published: (2024)

Artificial Intelligence Ecosystem for Automating Self-Directed Teaching
by: Gotavade, Tejas Satish
Published: (2024)

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
by: Ning, Yilin, et al.
Published: (2023)

New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography
by: Zhang, Hao, et al.
Published: (2022)

Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
by: Hoffmann, Barbara, et al.
Published: (2024)

Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
by: Tong, Richard, et al.
Published: (2024)

Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
by: Keenan, Bernard, et al.
Published: (2023)

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
by: Liu, Mingxuan, et al.
Published: (2024)

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
by: Pelekis, Sotiris, et al.
Published: (2024)

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

Prerequisite Structure Discovery in Intelligent Tutoring Systems
by: Annabi, Louis, et al.
Published: (2024)

Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
by: Rabanser, Stephan
Published: (2025)

Investigating Trustworthiness of Nonparametric Deep Survival Models for Alzheimer's Disease Progression Analysis
by: Thrasher, Jacob, et al.
Published: (2026)

Robustness and Cybersecurity in the EU Artificial Intelligence Act
by: Nolte, Henrik, et al.
Published: (2025)

Progress in Artificial Intelligence and its Determinants
by: Douglas, Michael R., et al.
Published: (2025)

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI
by: Yang, Chao, et al.
Published: (2024)

FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
by: Yesmin, Farjana
Published: (2026)

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

Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
by: Wu, Shangxi, et al.
Published: (2023)

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
by: Shen, Junhao, et al.
Published: (2023)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)

Governance of Generative Artificial Intelligence for Companies
by: Schneider, Johannes, et al.
Published: (2024)

Rethinking Suicidal Ideation Detection: A Trustworthy Annotation Framework and Cross-Lingual Model Evaluation
by: Dzafic, Amina, et al.
Published: (2025)

3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
by: Zhang, Liang, et al.
Published: (2024)

What is Reproducibility in Artificial Intelligence and Machine Learning Research?
by: Desai, Abhyuday, et al.
Published: (2024)

Update Opacity: Epistemic Accessibility and Governance Under AI System Change
by: Ferrario, Andrea, et al.
Published: (2026)

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
by: Swamy, Vinitra, et al.
Published: (2023)

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
by: White, Matt, et al.
Published: (2024)

Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap
by: Sokol, Kacper, et al.
Published: (2025)

Artificial General Intelligence Forecasting and Scenario Analysis: State of the Field, Methodological Gaps, and Strategic Implications
by: Sarma, Gopal P., et al.
Published: (2026)

Automatic Evaluation Metrics for Artificially Generated Scientific Research
by: Höpner, Niklas, et al.
Published: (2025)

Intolerable Risk Threshold Recommendations for Artificial Intelligence
by: Raman, Deepika, et al.
Published: (2025)

Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
by: Li, Zhaoxing, et al.
Published: (2024)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
by: Zhang, Weijia, et al.
Published: (2024)

Artificial Intelligence for the Internal Democracy of Political Parties
by: Novelli, Claudio, et al.
Published: (2024)