collaborators

6 papers

cs.AI2026

AIriskEval-edu Demo: Auditing of Pedagogical Risks in Educational Explanations

Javier Irigoyen, Roberto Daza, Francisco Jurado +5

We present AIriskEval-edu Demo, a platform that audits the pedagogical quality of instructional explanations and provides explainable audit results. The platform evaluates an expla…

cs.AI2026

CrimeNER Demo: Named-Entity Recognition in the Crime Domain

Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +7

We present CrimeNER Demo, an AI-powered platform that enables us to extract general crime-related information from documents and classify them into entity types with two levels of…

cs.CY2026

Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond

Javier Irigoyen, Roberto Daza, Aythami Morales +5

The society and emerging risk-based regulatory frameworks for AI underscore the need for rigorous risk assessment to ensure safe and reliable AI systems. In response to this impera…

cs.CL2026

AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanations

Javier Irigoyen, Roberto Daza, Francisco Jurado +5

This work introduces AIriskEval-edu-db2, a new dataset designed to train and evaluate auditors based on LLMs for an explainable pedagogical risk assessment in instructional content…

cs.HC2026

Evaluating Social Engineering Risks in AI-based Interaction using Biometrics and a Gaming Setup

Roberto Daza, Javier Irigoyen, Ivan Lopez +5

We introduce AIriskEval-gaming, an open platform and dataset to evaluate social engineering risks in LLM-mediated multimodal interaction through controlled games. It supports human…

cs.AI2026

EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanations

Javier Irigoyen, Roberto Daza, Aythami Morales +4

This work introduces EduEVAL-DB, a dataset based on teacher roles designed to support the evaluation and training of automatic pedagogical evaluators and AI tutors for instructiona…