Author

J. Molina-Espinosa

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Review Open access Oct 2026

A regulation-aware architecture for governing AI-generated content: provenance, labeling, privacy, safety, and institutional compliance

The rapid adoption of generative AI across multiple modalities has raised concerns about authenticity, labeling, privacy, safety, accountability, and legal compliance in AI-generated content produced within public-interest institutions, particularly in education and public administration. Although prior research ha...

I. García-López, J. Molina-Espinosa, M.-S. Ramirez-Montoya et al. · Frontiers in Artificial Inte... · 0 citations

Review Open access Sep 2026

Governing Open Large Language Models in public administrative decision-making: a framework for accountability, justification, and institutional control

The integration of Open Large Language Models (OLLMs) into administrative decision-making raises critical challenges related to accountability, justification, and institutional control. This paper examines OLLMs not merely as technical tools but as governance objects embedded in legally sensitive decision processes. It...

I. García-López, J. Molina-Espinosa, M.-S. Ramirez-Montoya et al. · Frontiers in Political Scien... · 0 citations

2026

Optimizing Open Large Language Models for Equity and Accessibility in Higher Education Through Pruning and Retrieval-Augmented Generation

This study examines whether open large language models (OLLMs) can be optimized for equitable and efficient use in higher education under resource-constrained conditions. A quantitative experimental design was implemented to evaluate five OLLMs —Falcon, Bloom, GPT-NeoX, T5, and Flan-T5—under four conditions: baseline u...

I. García-López, J. Molina-Espinosa, M-S. Ramirez-Montoya · IEEE Revista Iberoamericana... · 0 citations