Results 71 to 80 of about 6,295 (185)

Flesh and code: The cinematic lineage of AI replacing humans from Maria to Cassandra

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract This study explores the evolving representation of Artificial Intelligence (AI) characters in media and its intersection with contemporary technological issues, focusing on the paradoxical human desire for emotional and creative replacement.
Jiyoung Kim, Ki Han Kwon
wiley   +1 more source

GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer

Applied Sciences
Deepfakes 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, Hannes Mareen, Peter Lambert, Solomon Atnafu, Zahid Akhtar, Glenn Van Wallendael   +5 more
doaj   +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  

Cross‐Cultural Validation of the Malevolent Creativity Behavior Scale in 7 Countries

The Journal of Creative Behavior, Volume 60, Issue 1, March 2026.
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, Gisele Magarotto Machado, Dritjon Gruda, Hongyu Fu, Royer Olivera‐Cercado, Luis Hualparuca‐Olivera, Bernard Mensah Amoako, Inuusah Mahama, Ireri Anthony, Eliana Santos de Farias, Tatiana de Cassia Nakano, Carolina Rosa Campos, Bruno Bonfá‐Araujo   +12 more
wiley   +1 more source

Robust Sequential DeepFake Detection

, 2023
Since photorealistic faces can be readily generated by facial manipulation technologies nowadays, potential malicious abuse of these technologies has drawn great concerns. Numerous deepfake detection methods are thus proposed.
Liu, Ziwei, Shao, Rui, Wu, Tianxing
core  

How New Issues Become Polarized: Partisan Triggers and Subsystem Shopping in Early AI Policymaking

Policy &Internet, Volume 18, Issue 1, March 2026.
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, Daniel S. Schiff, Kaylyn Jackson Schiff   +2 more
wiley   +1 more source

Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model

IEEE Access
Deepfake audio causes damage not only to individuals and companies, but also to nations; therefore, research on deepfake audio detection technology is crucial.
Daeun Song, Nayoung Lee, Jiwon Kim, Eunjung Choi   +3 more
doaj   +1 more source

Multimodal Deepfake Detection

International Journal for Research in Applied Science and Engineering Technology
Abstract: Deepfake technology has become a significant threat to the integrity of multimedia content, posing challenges to areas such as cybersecurity, media forensics, and information authenticity. To address this, our research introduces a Multimodal Deepfake Detection system capable of identifying manipulated content by combining visual and auditory
Prof. Sneha G, Prof. Divya S, Lavanya R, Leesha V Kumar, Navyatha A, Nishu Agarwal   +5 more
openaire   +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

Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
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, Ankur Barthwal, Molly Campbell, Ajay Kumar Shrestha   +3 more
wiley   +1 more source