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Strengthening demOcratic engagement through vaLue-bAsed geneRative adversarIal networkS

Project description

Democratic responses to the challenges of deepfakes and infodemics

Generative adversarial networks (GANs) are generative AI models capable of reproducing realistic images, videos and voice outputs. Because they have the potential to create highly realistic content, they can also pose a threat to democracies through the creation and circulation of deepfakes, which spread false information and undermine trust. In this context, the EU-funded SOLARIS project will focus on the challenges and opportunities posed by GANs in the context of democracy. It will study how deepfakes circulate and are trusted by users, thus threatening democratic processes. It will also develop regulatory guidelines about GANs and generative AI for the promotion of democratic engagement. The project will involve three use cases to simulate the circulation of threatening content, and co-create value-based GANs content to enhance digital citizenship.

Objective

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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Programme(s)

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Topic(s)

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-CL2-2022-DEMOCRACY-01

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Coordinator

UNIVERSITEIT UTRECHT
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 190 538,13
Address
HEIDELBERGLAAN 8
3584 CS Utrecht
Netherlands

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 190 538,13

Participants (11)

Partners (1)

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