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Mednarodni projekti vir: SICRIS

SOLARIS - Strengthening demOcratic engagement through vaLue-bAsed geneRative adversarlal networkS

Ključne besede
Generative Adversarial Network (GAN), Digital Democracy, Deepfake risk mitigation, Citizen science, Value-sensitive design of technology, Regulatory innovation strategies and best policy options
Organizacije (3) , Raziskovalci (6)
0552  Univerza v Mariboru
0796  Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko
št. Evidenčna št. Ime in priimek Razisk. področje Vloga Obdobje Štev. publikacijŠtev. publikacij
1.  50324  dr. Izidor Mlakar  Telekomunikacije  Vodja  2023 - 2025  194 
2.  18876  dr. Matej Rojc  Telekomunikacije  Raziskovalec  2023 - 2025  262 
3.  37781  dr. Urška Smrke  Psihologija  Raziskovalec  2023 - 2025  131 
4.  34771  dr. Tanja Zdolšek Draksler  Interdisciplinarne raziskave  Raziskovalec  2025  99 
2565  Univerza v Mariboru Filozofska fakulteta
št. Evidenčna št. Ime in priimek Razisk. področje Vloga Obdobje Štev. publikacijŠtev. publikacij
1.  52215  dr. Nejc Plohl  Psihologija  Raziskovalec  2023 - 2025  162 
Povzetek
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.
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