All papers accepted for TRUST-AI 2026 are listed below. Accepted position papers are available in their final version. Accepted short papers will be included in the workshop proceedings which shall be submitted to CEUR-WS Proceedings. To access short paper preprints, please request a password from the workshop organizers.
From AI output to human decision: a framework for verifiable AI-based tools. Pavlo Barkhayev and Mikhail Tchernikov
Rule-State Inference: A Bayesian Framework for Trustworthy Compliance Monitoring in Rule-Governed Domains. Abdou-Raouf Atarmla
Simulating the Clinic: Causal Digital Twins for Physicians' Training in Telemedicine. Matteo Gregorini, André Meyer-Vitali, Lorenzo Valerio, Chiara Boldrini and Lorenzo Lorusso
Human Preference aligned Tabular Similarity. Frederik Hoppe, Astrid Franz, Marianne Michaelis, Lars Kleinemeier and Udo Göbel
Exploring the boundaries of AI use in academic writing: An autoethnography case study of a novice academic writer using a learning journal for transparency. Glykeria Karagiorgou
Aligning AI Reliance and Perceived Trustworthiness for Responsible Human-AI Interaction. Sebastian Krügel, Anja Bodenschatz, Eda Ismail-Tsaous, Ute Schmid, Celine Spannagl and Matthias Uhl
When Ground Truths Disagree: Human-Variability-Aware Uncertainty and Explainability for Trustworthy Oncology Segmentation. Monika Pytlarz, Fabian Umeh, Nazanin Maleki, Nikolay Yordanov, Raisa Amiruddin, Marina Ivory, Mohamed Ghonim, Mohanad Ghonim, Albara Alotaibi, Melisa Guelen, Nathan Page, Pascal Fehringer, Sedra Mhana, Bojan Petrovic, Fatima Memon, Basimah Albalooshy, Elizabeth Schrickel, Mark Krycia, Justin Cramer, Ahmed Moawad, Spyridon Bakas, Jan K. Argasiński and Mariam Aboian
Fairness, Bias and Explainability (paper session 1)
Fairness-Aware Knowledge Distillation via Symbolic Knowledge Extractors. Federico Sabbatini and Roberta Calegari
Evaluating Trustworthy Multilingual Alignment in LLMs via Synthetic Natural Language Inference. Samir Abdaljalil, Erchin Serpedin, Khalid Qaraqe and Hasan Kurban
Human Rationale Aggregation for Balancing Performance and Explainability in Text Classification. Hideki Tsukamoto and Jiyi Li
Evaluating and Mitigating Gender Bias in Pre-trained Embeddings for ML-based Recruitment. Farnaz Faramarzi Lighvan and Lynn Houthuys
Confidence and Hallucination Detection (paper session 2)
A Voter-Based Stochastic Rejection-Method Framework for Asymptotically Safe Language Model Outputs. Jake R. Watts and Joel Sokol
The First Token Knows: Single-Decode Confidence for Hallucination Detection. Mina Gabriel and Pei Wang
A Trustworthy Federated Framework for Automated Medical Reporting via Two-Stage OCR and NLI-Based Risk Management. Yu-Chih Wei, Wei Shan Lin and Chia-Yun Hsu
Risk assessment, Governance, and Regulation (paper session 3)
An Empirical Study of Assessing and Mitigating Trustworthiness of Educational AI. Evangelia Anagnostopoulou, Nikolaos Antonios Grammatikos, Dimitris Apostolou and Gregoris Mentzas
Assessment of Trustworthiness of an Industrial AI System Using ALTAI – A Feasibility Study. Shukun Tokas, Aida Omerovic and Ragnhild Halvorsrud
Towards a Trustworthy AI Solution for Disinformation Detection. Eleni Tsalapati, Giorgos Giotis, Iosif Lazaridis, Thanasis Tsafonis, Christina Vaia, Ilias Kanellos, Cristina Guseth and Teodora Musat
The EU AI Act Definition of "AI System": Interpretive Challenges in Real-World Application and the “Navigating AI Systems Definition under the AI Act” (NAIS) Framework. María Villalobos Quesada
Robustness, Safety and Security (paper session 4)
Assessing Calibration and Conformal Coverage of SAR Perception Models under Sim-to-Real Shift. Diego Argüello Ron, Christyan Cruz Ulloa, Naresh Ravichandran, Anders Lansner, Pawel Herman, Jaime del Cerro and Oscar García Perales
Fuzzy Logic Interacts with Attention: Trustworthy Tennis Movements Identification for Motion Capture Data. Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic and Marcin Barszcz
DAPHne: A Trust Layer for Adversarial Detection in Histopathology via Gradient–Confidence Monitoring. Diogen Babuc
Trustworthy Agents and LLMs (paper session 5)
S³LoRA: Spectral Sharpness–Guided Pruning for Trustworthy Adaptation of Agentic LLMs. Shuang Ao, Shoaib Ehsan and Sarvapali D. Ramchurn
Trustworthy-by-Design Generative AI Assistants for Industrial Troubleshooting: A Knowledge Graph Grounded Architecture. Rohan Jadhav, Emmanuel Papadakis and George Baryannis
Legitimate Delegation and the Preservation of Human Agency in Trustworthy Agentic AI. Alexandru Mateescu
Do LLMs Explain or Remember? Evaluating Language Model Explanations of Reinforcement Learning Failures. Nivetha Suntharamoorthy, Jørn Eirik Betten, Dennis Gross, Eirik Valseth and Helge Spieke
Theoretical and applied perspectives (poster session)
Trustworthy AI and Mechanical Expressivism: The Systemic Risk of Ontological Hermeneutical Injustice. Marios Thomas Dogkas
Do Not Compare Apples and Offsets: An ESG Alignment Gate for Trustworthy Report Analysis. Zexi Wang and Zewen Shen
Spatial-Temporal Graph Kronecker Convolutional Network with Cauchy Activation Function: Trustworthy Skeleton‑Based Tennis Stroke Recognition Architecture. Pawel Powroznik, Maria Skublewska-Paszkowska, Marcin Barszcz, Krzysztof Dziedzic and Sylwester Korga
Trustworthy Adversarial Robustness via Adaptive Learning-Driven Multi-Teacher Knowledge Distillation. Hayat Ullah, Talha Zaidi and Arslan Munir