Projekt
Strengthening demOcratic engagement through vaLue-bAsed geneRative adversarIal networkS
Generative adversarial networks (GANs) are a class of AI models able to create media contents – audio and video – resembling reality. Although there are different promising areas of application of GANs – e.g. audio-graphic productions, human-computer interactions, satire, artistic creative expression – their current a…
Generative adversarial networks (GANs) are a class of AI models able to create media contents – audio and video – resembling reality. Although there are different promising areas of application of GANs – e.g. audio-graphic productions, human-computer interactions, satire, artistic creative expression – their current and foreseen misleading uses are just as numerous and worrying. The main concern 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. 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. Nevertheless, GANs also constitute an opportunity to enhance democratic awareness and expand active and inclusive citizenship.
SOLARIS reacts to these challenges in two ways. On the one hand, we analyse political risks associated with these technologies, to prevent negative implications for EU democracies. As a result, SOLARIS will establish regulatory innovations to detect and mitigate deepfake risks. On the other hand, we assess the opportunities raised by GANs for reinvigorating the democratic engagement of citizens. We will co-create, involving citizen science, value-based GANs contents to enhance democratic engagement. SOLARIS involves three use cases: the first aims at understanding the psychological aspects of GANs perceived trustworthiness. The second simulates the circulation of threatening GANs contents on social media, to detect risks and design mitigation strategies. The third co-creates value-based GANs contents to boost awareness on key global democratic topics (e.g: climate change, gender dimension, human migration), to ultimately enhance active and inclusive digital citizenship.
Themengebiete
- Energiewende Energiewende – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
- Klima und Umwelt Klima und Umwelt – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
Hochschulen
- THE UNIVERSITY OF EXETER THE UNIVERSITY OF EXETER – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innovation.
- INSTITUTI I STUDIMEVE NDERKOMBETARE INSTITUTI I STUDIMEVE NDERKOMBETARE – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und…
- LIBERA UNIVERSITA MARIA SANTISSIMAASSUNTA LIBERA UNIVERSITA MARIA SANTISSIMAASSUNTA – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschun…
- UNIVERSITEIT UTRECHT UNIVERSITEIT UTRECHT – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innovation.
- Universidad Carlos III de Madrid Universidad Carlos III de Madrid – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Inn…
- UNIVERSITEIT VAN AMSTERDAM UNIVERSITEIT VAN AMSTERDAM – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innovatio…
- CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA CONSORZIO INTERUNIVERSITARIO NAZIONALE PER L'INFORMATICA – Hochschule bzw. Forschungseinrichtung mit Aktivitä…