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Deepfakes & Algorithms: Threat or Opportunity?

Authors: Rannou, Emilie; Benichoux, Alexis; Forgeas, R��mi; Gaillard, Simon; Mary, J��r��mie; Trinh, Minh; TURINICI, Gabriel; +1 Authors

Deepfakes & Algorithms: Threat or Opportunity?

Abstract

Nowadays, deepfakes appear to be a manipulation tool whose impact on society is still poorly understood. Their existence and use raise many legal and ethical questions. Despite the laws and governance rules that may be implemented in response, the inability to detect a deepfake remains a fundamental concern. As technology continues evolving, it becomes more and more complicated to identify a fake. Developing a European knowledge on tools for detecting fakes and authenticating originals appears urgent. To answer this challenge, the latest Praxis report, Deepfakes & Algorithms, makes twelve recommendations around four major strategic pillars: - Making Europe a leader in the fight against deepfakes - Strengthening the responsibility of platforms at the European level - Building a regulatory environment adapted to an efficient fight against deepfakes - Protecting citizens from the impact of deepfakes

Keywords

fake news, deep fakes, VAE, variational auto-encoders, deep learning, generative adversarial networks, artificial intelligence, algorithms, neural networks, GAN

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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  • 468
    views
    128
    downloads
    Powered byOpenAIRE UsageCounts
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Found an issue? Give us feedback
visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
468
128
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