About GRESEL: AI Generation Results Enriched with Simplified Explanations Based on Linguistic Features.

GRESEL: AI Generation Results Enriched with Simplified Explanations Based on Linguistic Features, is a coordinated research project funded by the Spanish Ministry of Science, Innovation and Universities. This initiative addresses the critical need to enhance the transparency and trustworthiness of responses generated by increasingly prevalent generative Artificial Intelligence (AI) applications. Recognizing the potential of these technologies across various domains, GRESEL focuses on enriching their output with simplified, linguistically grounded explanations.

The project is structured into two distinct, yet interconnected subprojects, each exploring specific facets of this overarching goal. This one is GRESEL-UAM: Financial Narratives and Literature.

It is led by Dr. Antonio Moreno-Sandoval. GRESEL-UAM delves into the intersection of financial narratives and literature. This subproject investigates how generative AI can be employed to analyze and understand complex financial texts and literary works. Furthermore, it aims to develop methods for generating AI responses in these domains that are not only accurate but also accompanied by clear and accessible explanations rooted in linguistic features present in the original texts. By focusing on these specific areas, GRESEL-UAM seeks to contribute to more nuanced and interpretable AI applications in both the financial and literary fields.