Accepted Papers

• The Anatomy of a Trustworthy AI Answer: A Comparative Experiment for RAG Architectures

Dippu Kumar Singh

• Uncovering Systemic and Environment Errors in Autonomous Systems Using Differential Testing

Yashwanthi Anand, Rahil P Mehta, Manish Motwani and Sandhya Saisubramanian

• A Brief Overview of Key Quality Metrics for Knowledge Graph Solution. Illustration on Digital NOTAMs

Juliette Mattioli, Lucas Mattioli and Martin Gonzalez

• Introducing RUM: A Methodological Contribution for Engineering Trustworthy AI Components in Industrial Systems

Martin Gonzalez, Loic Cantat and Kevin Pasini

• Rashomon in the Streets: Explanation Ambiguity in Scene Understanding

Helge Spieker, Jørn Eirik Betten, Arnaud Gotlieb, Nadjib Lazaar and Nassim Belmecheri

• Error Detection and Correction for Interpretable Mathematics in Large Language Models

Yijin Yang, Cristina Cornelio, Mario Leiva and Paulo Shakarian

• Grounded Instruction Understanding with Large Language Models: Toward Trustworthy Human-Robot Interaction

Ekele Ogbadu, Stephanie Lukin and Cynthia Matuszek

• Data Drift Detection and Assessment for AI-hybrid Models Applied on Electrical Energy Consumption

Faouzi Adjed, Milad Leyli-Abadi, Elies Gherbi and Martin Gonzalez

• Utilizing SBOM for Transparent AI Risk Communication

Lennard Helmer, Lisa Fink and Maximilian Poretschkin

• Enhancing Trustworthiness in VAD with Rule-Based VLM-LLM Explanations

Mohaled Ibn Khedher, Faouzi Adjed and Joseph Kattan

• The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns

Elyes Hajji, Aymen Bouguerra and Fabio Arnez

• ZAAS: Zonal Aware Anomaly Score for Time Series

Elies Gherbi, Nabil Ait Said, Faouzi Adjed and Achraf Kallel

• Interactive Simulations of Backdoors in Neural Networks

Peter Bajcsy and Maxime Bros

• Empirical Evidence for Alignment Faking in Small LLMs and Prompt-Based Mitigation Techniques

J Koorndijk

• Query-Based Model Extraction Attack on GCN: A Surrogate Model Technique for Non-Euclidean Data

Sibtain Syed, Alvi Ataur Khalil, Kishor Datta Gupta, Saima Jabeen and Mohammad Ashiqur Rahman

• Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures

Kishor Datta Gupta, Mohd Ariful Haque, Hasmot Ali, Marufa Kamal, Sayd Bahauddin Alam and Mohammad Ashiqur Rahman

• Ethics2vec: aligning automatic agents and human preferences

Gianluca Bontempî

• Assessing the Geolocation Capabilities, Limitations and Societal Risks of Generative Vision-Language Models

Oliver Grainge, Sania Waheed, Jack Stilgoe, Michael Milford and Shoaib Ehsan

• Identifying the Supply Chain of AI for Trustworthiness and Risk Management in Critical Applications

Raymond Sheh and Karen Geappen

• Challenges and Choices when Evaluating Alignment in Human-AI Systems

Jennifer McVay and Ewart de Visser

• Bridging AI and Health on Time Series Analysis and Explainability Using the Case Study of EEG Channel Selection Problem

Vandana Srivastava and Biplav Srivastava

• Artificial Insurance: Exposing the Coverage, Controls, and Measurement Gaps of Insurance for AI Risks

Erin Kenneally and Erin Kenneally

• On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating

Michael Widener, Kausik Lakkaraju, John Aydin and Biplav Srivastava

• Position: LLMs Need To Go Beyond Computational Confidence Metrics to Establish Trust

Anil B Murthy and Lindsay Sanneman