Results 71 to 80 of about 6,771 (199)
Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papers
Computers in Human Behavior ReportsDeepfakes are AI-generated media designed to look real, often with the intent to deceive. Deepfakes threaten public and personal safety by facilitating disinformation, propaganda, and identity theft.
Alexander Diel +5 more
doaj +1 more source
CoRRThe proliferation of Text-to-Music (TTM) platforms has democratized music creation, enabling users to effortlessly generate high-quality compositions. However, this innovation also presents new challenges to musicians and the broader music industry.
openaire +2 more sources
Automation and Augmentation in Theological Perspective
Modern Theology, EarlyView.Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source
ADD 2023: the Second Audio Deepfake Detection Challenge
, 2023 Audio deepfake detection is an emerging topic in the artificial intelligence community. The second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around the world to build new innovative technologies that can further accelerate ...
Fu, Ruibo +17 more
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Building centaur responders: is emergency management ready for artificial intelligence?
Disasters, Volume 50, Issue 3, July 2026.Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
, 2018 It is becoming increasingly easy to automatically replace a face of one person in a video with the face of another person by using a pre-trained generative adversarial network (GAN).
Korshunov, Pavel, Marcel, Sebastien
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Taxonomic Species and Conservation: A Coleopterists’ View
New Zealand Journal of Zoology, Volume 53, Issue 2, June 2026.A taxonomic species, the formal name applied to a segment of an evolving lineage, is a scientific representation named by a taxonomist. There is a dearth of taxonomists, which continues to decline, leading to the oft‐mentioned bottleneck in the formal naming of undescribed species and their revision.
Richard A. B. Leschen +2 more
wiley +1 more source
Policy &Internet, Volume 18, Issue 2, June 2026.ABSTRACT AI‐generated images have become so good in recent years that individuals often cannot distinguish them from ‘real’ images. This development, combined with the rapid spread of AI‐generated content online, creates a series of societal risks. Watermarking, a technique that involves embedding information within the content to indicate their AI ...
Bram Rijsbosch +2 more
wiley +1 more source
GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer
Applied SciencesDeepfakes have raised significant concerns due to their potential to spread false information and compromise the integrity of digital media. Current deepfake detection models often struggle to generalize across a diverse range of deepfake generation ...
Deressa Wodajo Deressa +5 more
doaj +1 more source
FSD: An Initial Chinese Dataset for Fake Song Detection
, 2023 Singing voice synthesis and singing voice conversion have significantly advanced, revolutionizing musical experiences. However, the rise of "Deepfake Songs" generated by these technologies raises concerns about authenticity.
Cheng, Haonan +6 more
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