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SG 19Trustworthy AI: Explainability, Causality, Robustness, and Governance

Friday, November 13, 2026, from 9:00 to 10:30

Room Pascual Rivas (P0)

Chair José María Alonso

The presenting author is shown in bold.

Rule-Based Explainability for Quantum Machine Learning in Thyroid Cancer Prediction

Daniel Martín-Pérez, Francesc Rodríguez-Díaz, Angela del Robledo Troncoso-García (presents the paper), David Gutiérrez-Avilés, Alicia Troncoso and Francisco Martínez-Álvarez

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From Generative Output to Traceable Design Decisions: A Process-Level Framework for Human-AI Co-Creation in Conceptual Design

Miguel-Ángel Agustín-Fonfría, Adolfo-Fernando Ventura-Salom (presents the paper) and Ana-Belén Barranco-Sánchez

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STOOD-X: Detección Explicable de Muestras Fuera de Distribución

Iván Sevillano-García (presents the paper), Julián Luengo and Francisco Herrera

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Polycentric control beyond compliance: A comparative qualitative study of six contemporary AI Governance models

Aníbal Astobiza Monasterio (presents the paper), Cristina Astier and Txetxu Ausín

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Descubrimiento causal sobre vectores en series temporales no estacionarias

Joaquín Mateos (presents the paper), Antonio R. Moya and Sebastián Ventura

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Sobre la Robustez Inherente de los Detectores de Objetos de una Única Etapa frente a Datos fuera de Distribución

Aitor Martinez-Seras, Javier Del Ser (presents the paper), Aitzol Olivares-Rad, Alain Andres and Pablo Garcia-Bringas

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