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Deepfakes & Algorithms: Threat or Opportunity?

Rannou, Emilie; Benichoux, Alexis; Rémi, Forgeas; Gaillard, Simon; Mary, Jeremie; Minh, Trinh; Turinici, Gabriel; Waxin, Emilie (2021), Deepfakes & Algorithms: Threat or Opportunity?, Club Praxis, p. 163. https://basepub.dauphine.psl.eu/handle/123456789/23081

Type
Rapport
External document link
https://www.clubpraxis.com/deepfakes-et-algorithmes
Date
2021
Publisher
Club Praxis
Pages
163
Metadata
Show full item record
Author(s)
Rannou, Emilie
Ekimetrics
Benichoux, Alexis
Rémi, Forgeas
France Business Services Center
Gaillard, Simon
Institut de Mathématiques de Bordeaux [IMB]
Mary, Jeremie
Université de Paris-Sud Orsay
Minh, Trinh
Turinici, Gabriel cc
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Waxin, Emilie
Abstract (EN)
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.
Subjects / Keywords
deepfake

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