Results 71 to 80 of about 12,335 (200)
Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
, 2023 Advances in Large Language Models (e.g., GPT-4, LLaMA) have improved the generation of coherent sentences resembling human writing on a large scale, resulting in the creation of so-called deepfake texts.
Huang, Ting-Hao 'Kenneth' +5 more
core
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
A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases
, 2023 In recent years, image and video manipulations with Deepfake have become a severe concern for security and society. Many detection models and datasets have been proposed to detect Deepfake data reliably.
Pedersen, Marius +3 more
core
The Deepfake Challenges and Deepfake Video Detection
International Journal of Innovative Technology and Exploring Engineering, 2020 Deepfake is a combination of fake and deep-learning technology. Deep learning is the function of artificial intelligence that can be used to create and detect deepfakes. Deepfakes are created using generative adversarial networks, in which two machine learning models exit.
openaire +1 more source
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
core
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
IDPEste artículo explora la relación entre deepfake y fake news a través de la lente del derecho. Se divide en tres partes conceptuales principales: en primer lugar, se examina la base teórica, a continuación, se explora la relación entre desinformación y ...
Gergely Ferenc Lendvai +1 more
doaj +1 more source
Getting Emotional Enough : Analyzing Emotional Diversity in Deepfake Avatars [PDF]
When using deepfake technology to represent users, there is a need to convey a reasonable range of emotions to be able to portray different circumstances ranging from positive to negative experiences (e.g., personal struggles).
Jansen, Bernard J. +5 more
core +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