NL4XAI

By Jaime Sevilla, PhD at UNIABDN. We have compiled information about the date of development and trainable parameter counts of n=139 machine learning systems between 1952 and 2021. This is, as far as we know, the biggest public dataset of its kind. The accompanying article, published in the Aligment Forum, Read more…

By Luca Nannini, PhD at Indra, Minsait. The blog article is an exploratory analysis of how XAI principles could leverage user trust and data integrity in blockchain systems. Through a preliminary overview of the current international AI ethics news, an introduction to explainable AI is provided. Furthermore, there are presented Read more…

We are glad to announce that NL4XAI consortium will organize a panel at the 26th International Conference on Applications of Natural Language to Information Systems (NLDB-2021). The panel will take place online on Wednesday, 23 June 2021, at 16:00 h. The registration is free. The panel discussion will bring together Read more…

The aim of this four-year European project is to use natural language to generate explanations for decisions made by an AI system, which are understandable to non-expert users. The project members will meet next 4 September in Santiago de Compostela (Spain) for the first training event of the network. According Read more…

The kick-off meeting of the NL4XAI project took place in Santiago de Compostela, October 10th, 2019. This is an H2020 MSCA European Training Network funded with about 2.8M euros and coordinated by the research team headed by Senén Barro at the Research Centre in Intelligent Technologies of the University of Read more…