Results 31 to 40 of about 8,150 (174)
IEEE AccessIn this paper, we present our result of research in video deepfake detection. We built a deepfake detection system to detect whether a video is a deepfake or real. The deepfake detection algorithm still struggle in providing a sufficient accuracy values,
Kurniawan Nur Ramadhani +2 more
doaj +1 more source
British 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
مجلة العلوم و آفاق المعارفThis research paper explores the detrimental impact of deepfake technology on the reputation of prominent figures on social media platforms. The rapid advancement of deepfake technology and its negative consequences on digital life necessitate a ...
djamila kadem +1 more
doaj +1 more source
İletişim Kuram ve Araştırma DergisiAlgoritmik görsel ve işitsel manipülasyon olarak da tanımlanan deepfake dokümanları, bireylerin tahrif edilmiş bilgilerinin kendi rızası dışında medyaya servis edilmesini mümkün hale getirmiştir.
Başak Akmeşe, Raci Taşcıoğlu
doaj +1 more source
Do deepfakes, digital replicas and human digital twins justify personality rights?
The Journal of World Intellectual Property, EarlyView.Abstract Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non‐consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause through disinformation, demeaning content ...
Hayleigh Bosher
wiley +1 more source
Facial Region-based Ensembling for Unsupervised Temporal Deepfake Localization [PDF]
peer reviewedThis paper addresses the challenge of temporal deepfake localization. Instead of classifying entire videos as real or fake, the goal is isolating forged frames in untrimmed videos that might be partially manipulated.
GHORBEL, Enjie +4 more
core +1 more source
Computers in Human Behavior: Artificial HumansAs deepfakes (i.e., contents generated by artificial intelligence) become increasingly realistic, humans struggle to distinguish them from authentic materials.
Mara Stockner +3 more
doaj +1 more source
Generative AI adoption and barriers in the insurance industry
Risk Management and Insurance Review, EarlyView.Abstract This study examines the adoption of Generative Artificial Intelligence (Gen AI) in the insurance industry through an institutional lens, drawing on semi‐structured interviews with 21 senior insurance professionals. While Gen AI offers significant potential for a data and text‐intensive industry, adoption remains cautious and uneven.
Aisling Owen +2 more
wiley +1 more source
AI Magazine, Volume 47, Issue 4, Winter 2026.Abstract Artificial intelligence is transforming online information environments, amplifying both societal benefits and risks. This article argues that online platforms can be understood as multi‐agent systems (MAS) composed of humans, simulated users, adversarial agents, and defensive agents operating under platform‐level rules.
Jurriaan van Diggelen, Maaike Homan
wiley +1 more source
Awareness to Deepfake: A resistance mechanism to Deepfake [PDF]
, 2021 The goal of this study is to find whether exposure to Deepfake videos makes people better at detecting Deepfake videos and whether it is a better strategy against fighting Deepfake. For this study a group of people from Bangladesh has volunteered.
Ahmed, Mohammad Faisal Bin +7 more
core +1 more source