SOLARIS

Generative adversarial networks (GANs) are a class of AI systems able to create media contents – audio and video – resembling reality. The main concern raised by this technology is related to the so-called “deepfakes”, fake images or videos simulating real events with extreme precision. If trained on a face, GANs can make it move and speak in a hyper-realistic way. SOLARIS aims at understanding how this technology poses an urgent political threat since GANs could be – and have already been – used to spread fake news and disinformation. This raises an urgent challenge to democratic governance and regulation: to improve GANs accountability, transparency, and trustworthiness.

ENGAGE

The ENGAGE project fosters the Green Renovation of EU building a Green Investments Portal, to support the harmonization and the access to green finance. The combination of econometric methodologies with a human-in-the-loop and privacy by-design approaches aims towards a more ethically and economically sustainable relationship with the environment.

LUCIA

LUCIA is an interdisciplinary project that aims to develop a large repository of lung cancer patient data (digital biobank) based on retrospective and prospective cohort data, and a comprehensive toolbox for the study of LC risk factors and health determinants. To achieve that, LUCIA will make use of a wealth of data from varied data sources; investigate the role and interplay of genetic predisposition, lifestyle factors and environmental factors on LC development, by integrating novel technologies and AI based analysis tools; investigate cellular pathways adjusted to LC subtypes; develop Value-Based Care Models to provide data-driven recommendations; and validate models with a prospective clinical study.