The XAI-EDU project aims to use Artificial Intelligence (AI) techniques to produce Learning Analytics (LA) that will support learners and teachers in changing their practices based on
in particular on a dimension that is currently little exploited: the influence of social interactions.
To address this issue, we propose a mixed numerical and symbolic approach (based on business knowledge) to make decision-making tools explainable and actionable.
According to the World Health Organization, starting from 2010, cancer will become the leading cause of death worldwide. Prevention of major cancer localizations through a quantified assessment of risk factors is a major concern in order to decrease their impact in our society. In this project our objective was to find and to evaluate modeling methods easily readable by a physician.
[Read more](/project/breast-cancer-risk-assessment)
The goal of this project is to analyze and evaluate the socio-economic effects of digital transformations on information quality and pluralism (QPI) in the media universe.