Saved in:
| Main Authors: | Fischer, Raphael, Wischnewski, Magdalena, van der Staay, Alexander, Poitz, Katharina, Janiesch, Christian, Liebig, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.11909 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging the AI Trustworthiness Gap between Functions and Norms
by: Di Scala, Daan, et al.
Published: (2025)
by: Di Scala, Daan, et al.
Published: (2025)
Benefits and Limitations of Using GenAI for Political Education and Municipal Elections
by: Fischer, Raphael, et al.
Published: (2025)
by: Fischer, Raphael, et al.
Published: (2025)
A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation
by: Laakmann, Lukas, et al.
Published: (2025)
by: Laakmann, Lukas, et al.
Published: (2025)
Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
by: Newen, Carina, et al.
Published: (2025)
by: Newen, Carina, et al.
Published: (2025)
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
by: Fischer, Raphael
Published: (2025)
by: Fischer, Raphael
Published: (2025)
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
by: Roth, Andreas, et al.
Published: (2023)
by: Roth, Andreas, et al.
Published: (2023)
IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems
by: Speckmann, Pauline, et al.
Published: (2025)
by: Speckmann, Pauline, et al.
Published: (2025)
A Frontier AI Risk Management Framework: Bridging the Gap Between Current AI Practices and Established Risk Management
by: Campos, Simeon, et al.
Published: (2025)
by: Campos, Simeon, et al.
Published: (2025)
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
by: Bhambhoria, Rohan, et al.
Published: (2024)
by: Bhambhoria, Rohan, et al.
Published: (2024)
Bridging the Gap in the Responsible AI Divides
by: Gyevnár, Bálint, et al.
Published: (2026)
by: Gyevnár, Bálint, et al.
Published: (2026)
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
by: Pfau, Diana, et al.
Published: (2024)
by: Pfau, Diana, et al.
Published: (2024)
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
by: Han, Shanshan, et al.
Published: (2025)
by: Han, Shanshan, et al.
Published: (2025)
Intelligent Knowledge Mining Framework: Bridging AI Analysis and Trustworthy Preservation
by: Vu, Binh
Published: (2025)
by: Vu, Binh
Published: (2025)
Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI
by: Jeong, Cheonsu, et al.
Published: (2025)
by: Jeong, Cheonsu, et al.
Published: (2025)
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
by: Papademas, Michael, et al.
Published: (2025)
by: Papademas, Michael, et al.
Published: (2025)
Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting
by: Agarwal, Avinash, et al.
Published: (2025)
by: Agarwal, Avinash, et al.
Published: (2025)
Position: Bridge the Gaps between Machine Unlearning and AI Regulation
by: Marino, Bill, et al.
Published: (2025)
by: Marino, Bill, et al.
Published: (2025)
Improving the Safety and Trustworthiness of Medical AI via Multi-Agent Evaluation Loops
by: Ghafoor, Zainab, et al.
Published: (2026)
by: Ghafoor, Zainab, et al.
Published: (2026)
ICE-T: A Multi-Faceted Concept for Teaching Machine Learning
by: Krone, Hendrik, et al.
Published: (2024)
by: Krone, Hendrik, et al.
Published: (2024)
Beyond the Data Mesh Illusion: Designing Modern AI-augmented Lakehouses to Bridge the Gap Between Theory and Practice
by: Angélil, Oliver, et al.
Published: (2026)
by: Angélil, Oliver, et al.
Published: (2026)
Trustworthy AI Must Account for Interactions
by: Cresswell, Jesse C.
Published: (2025)
by: Cresswell, Jesse C.
Published: (2025)
Ethical AI Governance: Methods for Evaluating Trustworthy AI
by: McCormack, Louise, et al.
Published: (2024)
by: McCormack, Louise, et al.
Published: (2024)
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
by: Zheng, Simin, et al.
Published: (2025)
by: Zheng, Simin, et al.
Published: (2025)
NeoPhysIx: An Ultra Fast 3D Physical Simulator as Development Tool for AI Algorithms
by: Fischer, Jörn, et al.
Published: (2024)
by: Fischer, Jörn, et al.
Published: (2024)
Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation Methods
by: Grey, Markov, et al.
Published: (2025)
by: Grey, Markov, et al.
Published: (2025)
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization
by: Guinan, Grace, et al.
Published: (2025)
by: Guinan, Grace, et al.
Published: (2025)
Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance
by: Tagliabue, Jacopo, et al.
Published: (2025)
by: Tagliabue, Jacopo, et al.
Published: (2025)
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models
by: Strong, Joshua, et al.
Published: (2024)
by: Strong, Joshua, et al.
Published: (2024)
Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TranspNet)
by: Machot, Fadi Al, et al.
Published: (2024)
by: Machot, Fadi Al, et al.
Published: (2024)
Trustworthy AI: Securing Sensitive Data in Large Language Models
by: Feretzakis, Georgios, et al.
Published: (2024)
by: Feretzakis, Georgios, et al.
Published: (2024)
Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI
by: Makridis, Georgios, et al.
Published: (2026)
by: Makridis, Georgios, et al.
Published: (2026)
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
by: Binkyte, Ruta, et al.
Published: (2026)
by: Binkyte, Ruta, et al.
Published: (2026)
CTRL-ALT-DECEIT: Sabotage Evaluations for Automated AI R&D
by: Ward, Francis Rhys, et al.
Published: (2025)
by: Ward, Francis Rhys, et al.
Published: (2025)
Label Indeterminacy in AI & Law
by: Steging, Cor, et al.
Published: (2025)
by: Steging, Cor, et al.
Published: (2025)
Security-First AI: Foundations for Robust and Trustworthy Systems
by: Tallam, Krti
Published: (2025)
by: Tallam, Krti
Published: (2025)
Co-Investigator AI: The Rise of Agentic AI for Smarter, Trustworthy AML Compliance Narratives
by: Naik, Prathamesh Vasudeo, et al.
Published: (2025)
by: Naik, Prathamesh Vasudeo, et al.
Published: (2025)
Bridging the Skills Gap: A Course Model for Modern Generative AI Education
by: Bardach, Anya, et al.
Published: (2025)
by: Bardach, Anya, et al.
Published: (2025)
Generative AI for Enhanced Wildfire Detection: Bridging the Synthetic-Real Domain Gap
by: Gaba, Satyam
Published: (2025)
by: Gaba, Satyam
Published: (2025)
Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning
by: Linze, Chen, et al.
Published: (2026)
by: Linze, Chen, et al.
Published: (2026)
Similar Items
-
Bridging the AI Trustworthiness Gap between Functions and Norms
by: Di Scala, Daan, et al.
Published: (2025) -
Benefits and Limitations of Using GenAI for Political Education and Municipal Elections
by: Fischer, Raphael, et al.
Published: (2025) -
A Nascent Taxonomy of Machine Learning in Intelligent Robotic Process Automation
by: Laakmann, Lukas, et al.
Published: (2025) -
Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
by: Newen, Carina, et al.
Published: (2025) -
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
by: Fischer, Raphael
Published: (2025)