Results 51 to 60 of about 6,210 (184)
Exposing deepfakes using a deep multilayer perceptron – convolutional neural network model
Creating deepfakes has rapidly become easier and more accessible due to advancements in hardware and computing. The harmful nature of deepfakes urges immediate action to improve detection of such doctored videos.
Santosh Kolagati +2 more
doaj +1 more source
Automation and Augmentation in Theological Perspective
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
The development of artificial intelligence has inevitably led to the growth of deepfake images, videos, human voices, etc. Deepfake detection is mandatory, especially when used for unethical and illegal purposes.
Cosmina-Mihaela Rosca, Adrian Stancu
doaj +1 more source
Cross‐Cultural Validation of the Malevolent Creativity Behavior Scale in 7 Countries
ABSTRACT This study examined the psychometric properties and cross‐cultural validity of the Malevolent Creativity Behavior Scale (MCBS). A total of 2937 participants from Brazil, China, Ghana, Kenya, Peru, the United Kingdom, and the United States completed the 13‐item MCBS.
Cristian Ramos‐Vera +12 more
wiley +1 more source
Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papers
Deepfakes 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
Deepfake video detection : challenges and opportunities [PDF]
Deepfake videos are a growing social issue. These videos are manipulated by artificial intelligence (AI) techniques (especially deep learning), an emerging societal issue.
Firmin, Sally +4 more
core +2 more sources
How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking
ABSTRACT Early AI policymaking in the United States appeared bipartisan, but subsequent developments raise the question of whether AI policy will become more polarized over time. To examine how partisanship takes root around novel policy issues, we perform a mixed‐methods study, analyzing survey data from 129 state legislators in 44 states and ...
Robin Jacobson +2 more
wiley +1 more source
The rapid advancement of digital content generation technologies has led to the proliferation of deepfake media, posing significant security and privacy risks on social networks.
Deepa Javiya +3 more
doaj +1 more source
Deepfake Detection: A Comprehensive Study from the Reliability Perspective
The mushroomed Deepfake synthetic materials circulated on the internet have raised serious social impact to politicians, celebrities, and every human being on earth.
Chang, Xiaojun +3 more
core
Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
ABSTRACT The rapid expansion of artificial intelligence (AI) in digital platforms used by youth has created significant challenges related to privacy, autonomy, and data protection. While AI‐driven personalization offers enhanced user experiences, it often operates without clear ethical boundaries, leaving young digital users vulnerable to data ...
Austin Shouli +3 more
wiley +1 more source

