TRUST-AI 2026

Table of Contents

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• Fairness-Aware Knowledge Distillation via Symbolic Knowledge Extractors 1-11 PDF
  Federico Sabbatini, Roberta Calegari
• Evaluating Trustworthy Multilingual Alignment in LLMs via Synthetic Natural Language Inference 12-23 PDF
  Samir Abdaljalil, Erchin Serpedin, Khalid Qaraqe, Hasan Kurban
• Human Rationale Aggregation for Balancing Performance and Explainability in Text Classification 24-30 PDF
  Hideki Tsukamoto, Jiyi Li
• Evaluating and Mitigating Gender Bias in Pre-trained Embeddings for ML-based Recruitment 31-41 PDF
  Farnaz Faramarzi Lighvan, Lynn Houthuys
• A Voter-Based Stochastic Rejection-Method Framework for Asymptotically Safe Language Model Outputs 42-54 PDF
  Jake R. Watts, Joel Sokol
• The First Token Knows: Single-Decode Confidence for Hallucination Detection 55-63 PDF
  Mina Gabriel, Pei Wang
• A Trustworthy Federated Framework for Automated Medical Reporting via Two-Stage OCR and NLI-Based Risk Management 64-73 PDF
  Yu-Chih Wei, Wei Shan Lin, Chia-Yun Hsu
• An Empirical Study of Assessing and Mitigating Trustworthiness of Educational AI 74-83 PDF
  Evangelia Anagnostopoulou, Nikolaos Antonios Grammatikos, Dimitris Apostolou, Gregoris Mentzas
• Assessment of Trustworthiness of an Industrial AI System using ALTAI – A Feasibility Study 84-92 PDF
  Shukun Tokas, Aida Omerovic, Ragnhild Halvorsrud
• Towards a Trustworthy AI Solution for Disinformation Detection 93-103 PDF
  Eleni Tsalapati, Giorgos Giotis, Iosif Lazaridis, Thanasis Tsafonis, Christina Vaia, Ilias Kanellos, Cristina Guseth, Teodora Musat
• The EU AI Act Definition of AI System: Interpretive Challenges in Real-World Application and the “Navigating the AI System Definition under the AI Act” (NAIS) Framework 104-117 PDF
  María Villalobos-Quesada
• Assessing Calibration and Conformal Coverage of SAR Perception Models under Sim-to-Real Shift 118-132 PDF
  Diego Argüello Ron, Christyan Cruz Ulloa, Naresh Ravichandran, Anders Lansner, Pawel Herman, Jaime del Cerro, Oscar García Perales
• Fuzzy Logic Interacts with Attention: Trustworthy Tennis Movements Identification for Motion Capture Data 133-141 PDF
  Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz
• DAPHne: A Trust Layer for Adversarial Detection in Histopathology via Gradient–Confidence Monitoring 142-150 PDF
  Diogen Babuc
• S³LoRA: Spectral Sharpness–Guided Pruning for Trustworthy Adaptation of Agentic LLMs 151-163 PDF
  Shuang Ao, Shoaib Ehsan, Sarvapali D. Ramchurn
• Trustworthy-by-Design Generative AI Assistants for Industrial Troubleshooting: A Knowledge Graph Grounded Architecture 164-173 PDF
  Rohan Jadhav, Emmanuel Papadakis, George Baryannis
• Legitimate Delegation and the Preservation of Human Agency in Trustworthy Agentic AI 174-182 PDF
  Alexandru Mateescu
• Do LLMs Explain or Remember? Evaluating Language Model Explanations of Reinforcement Learning Failures 183-192 PDF
  Nivetha Suntharamoorthy, Jørn Eirik Betten, Dennis Gross, Eirik Valseth, Helge Spieker
• Trustworthy AI and Mechanical Expressivism: The Systemic Risk of Ontological Hermeneutical Injustice 193-200 PDF
  Marios Thomas Dogkas
• Do not Compare Apples and Offsets: An ESG Alignment Gate for Trustworthy Report Analysis 201-213 PDF
  Zexi Wang, Zewen Shen
• Spatial-Temporal Graph Kronecker Convolutional Network with Cauchy Activation Function: Trustworthy Skeleton‑Based Tennis Stroke Recognition Architecture 214-222 PDF
  Pawel Powroznik, Maria Skublewska-Paszkowska, Marcin Barszcz, Krzysztof Dziedzic, Sylwester Korga
• Trustworthy Adversarial Robustness via Adaptive Learning-Driven Multi-Teacher Knowledge Distillation 223-233 PDF
  Hayat Ullah, Talha Zaidi, Arslan Munir