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

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

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

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

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 and Ana-Belén Barranco-Sánchez

STOOD-X: Detección Explicable de Muestras Fuera de Distribución

Iván Sevillano-García, Julián Luengo and Francisco Herrera

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

Aníbal Astobiza Monasterio, Cristina Astier and Txetxu Ausín

Descubrimiento causal sobre vectores en series temporales no estacionarias

Joaquín Mateos, Antonio R. Moya and Sebastián Ventura

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, Aitzol Olivares-Rad, Alain Andres and Pablo Garcia-Bringas

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