Results 41 to 50 of about 1,207 (163)
British Journal of Educational Technology, EarlyView.Abstract Given the increasing integration of Artificial Intelligence (AI) into everyday life and professional contexts, it is essential to investigate learners' existing capabilities regarding AI tools to inform possible interventions to equip them with necessary AI skills, but also advance the theoretical frameworks on digital skills measurement and ...
Christian Scheibenzuber +4 more
wiley +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
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
Advancing AI, Virtue Enhancement, and the Need for Niebuhrian Virtues of Moral Vigilance
Journal of Religious Ethics, EarlyView.ABSTRACT This paper considers the possibility of AI being employed to improve moral character from the perspective of an account of virtues that is psychologically realistic (the HEIS model). It is informed by a Christian agapeic ethic oriented toward goods of creaturely well‐being that ground right action.
Gregory R. Peterson
wiley +1 more source
IEEE Access, 2023 This paper presents a review of techniques involved in the creation and detection of audio deepfakes, the first section provides information about general deep fakes. In the second section, the main methods for audio deepfakes are outlined and subsequently compared.
Ousama A. Shaaban +2 more
openaire +3 more sources
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
AI-LinguisticaThis paper considers language-generating artificial intelligence as a form of human imitation. Focusing on deepfakes that imitate individuals’ appearance and language, the paper examines how supposed deepfakes featuring prominent individuals are ...
Nina Kalwa
doaj +1 more source
“The Word Real Is No Longer Real”: Deepfakes, Gender, and the Challenges of AI-Altered Video
Open Information Science, 2019 It is near-impossible for casual consumers of images to authenticate digitally-altered images without a keen understanding of how to “read” the digital image.
Wagner Travis L., Blewer Ashley
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
Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao +3 more
wiley +1 more source