Results 51 to 60 of about 9,537 (200)

Právo versus deepfakes

open access: yesActa Universitatis Carolinae. Iuridica
The text focuses on deepfakes, which is audiovisual content created by artificial intelligence that depicts people, things or events and which the audience perceive as authentic or realistic.
Tina Mizerová
doaj   +1 more source

Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

open access: yesExpert systems with applications
Due to the fast spread of data through digital media, individuals and societies must assess the reliability of information. Deepfakes are not a novel idea but they are now a widespread phenomenon. The impact of deepfakes and disinformation can range from
Fakhar Abbas, Araz Taeihagh
semanticscholar   +1 more source

Tech Diplomacy and the Digital International Order: The Case of the EU–U.S. Trade and Technology Council

open access: yesGlobal Policy, EarlyView.
ABSTRACT This article examines the evolving role of the U.S.–EU Trade and Technology Council (TTC) in advancing the EU's digital diplomacy, with a particular focus on its contribution to global digital ordering. Positioned at the intersection of normative engagement and regulatory coordination, the TTC operates as a hybrid mechanism that integrates ...
Corneliu Bjola, Raluca Csernatoni
wiley   +1 more source

Exposing Lip-syncing Deepfakes from Mouth Inconsistencies [PDF]

open access: yesIEEE International Conference on Multimedia and Expo
A lip-syncing deepfake is a digitally manipulated video in which a person’s lip movements are created convincingly using AI models to match altered or entirely new audio. Lipsyncing deepfakes are a dangerous type of deepfakes as the artifacts are limited
Soumyya Kanti Datta, Shan Jia, Siwei Lyu
semanticscholar   +1 more source

Deepfakes Generation and Detection: A Short Survey

open access: yesJournal of Imaging, 2023
Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer
Zahid Akhtar
semanticscholar   +1 more source

Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?

open access: yesGlobal Policy, EarlyView.
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley   +1 more source

People have different expectations for their own versus others' use of AI‐mediated communication tools

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches
Zoe A. Purcell   +4 more
wiley   +1 more source

Prediction of self-efficacy in recognizing deepfakes based on personality traits  [version 3; peer review: 2 approved]

open access: yesF1000Research, 2023
Background: While deepfake technology is still relatively new, concerns are increasing as they are getting harder to spot. The first question we need to ask is how good humans are at recognizing deepfakes - the realistic-looking videos or images that ...
Heru Alamsyah Putra   +5 more
doaj   +1 more source

Cheap Versus Deep Manipulation: The Effects of Cheapfakes Versus Deepfakes in a Political Setting

open access: yesInternational journal of public opinion research
Visual disinformation has been regarded as convincing because it strongly resembles reality. Yet, we lack a clear understanding of the effects of different forms of audiovisual disinformation—cheapfakes versus deepfakes.
M. Hameleers
semanticscholar   +1 more source

Too good to be true: Synthetic AI faces are more average than real faces and super‐recognizers know it

open access: yesBritish Journal of Psychology, EarlyView.
Abstract The AI revolution has produced synthetic faces that often appear more human than photos of real people. We tested whether individual differences in human face recognition ability explain variation in discriminating AI from real faces. Super‐recognizers – people with exceptional ability to recognize human faces (N = 36) – outperformed a typical
James D. Dunn   +5 more
wiley   +1 more source

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