Deep Fakes and Memory Malleability: False Memories in the Service of Fake News.
Bioethics
law
media
mind-brain
morality/ethics
theory of mind
Journal
AJOB neuroscience
ISSN: 2150-7759
Titre abrégé: AJOB Neurosci
Pays: United States
ID NLM: 101518076
Informations de publication
Date de publication:
Historique:
entrez:
2
4
2020
pubmed:
2
4
2020
medline:
22
10
2020
Statut:
ppublish
Résumé
Deep fakes have rapidly emerged as one of the most ominous concerns within modern society. The ability to easily and cheaply generate convincing images, audio, and video via artificial intelligence will have repercussions within politics, privacy, law, security, and broadly across all of society. In light of the widespread apprehension, numerous technological efforts aim to develop tools to distinguish between reliable audio/video and the fakes. These tools and strategies will be particularly effective for consumers when their guard is naturally up, for example during election cycles. However, recent research suggests that not only can deep fakes create credible representations of reality, but they can also be employed to create false memories. Memory malleability research has been around for some time, but it relied on doctored photographs or text to generate fraudulent recollections. These recollected but fake memories take advantage of our cognitive miserliness that favors selecting those recalled memories that evoke our preferred weltanschauung. Even responsible consumers can be duped when false but belief-consistent memories, implanted when we are least vigilant can, like a Trojan horse, be later elicited at crucial dates to confirm our pre-determined biases and influence us to accomplish nefarious goals. This paper seeks to understand the process of how such memories are created, and, based on that, proposing ethical and legal guidelines for the legitimate use of fake technologies.
Identifiants
pubmed: 32228386
doi: 10.1080/21507740.2020.1740351
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM