Results 61 to 70 of about 11,154 (185)
A Survey on Deepfake Video Detection
IET Biometrics, 2021 Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism.
Peipeng Yu +3 more
doaj +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 +3 more
wiley +1 more source
Journal of the Society for Information Display, Volume 34, Issue 2, Page 49-67, February 2026.Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley +1 more source
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
Against the Manhattan project framing of AI alignment
Mind &Language, Volume 41, Issue 1, Page 119-136, February 2026.In response to the worry that autonomous generally intelligent artificial agents may at some point take over control of human affairs a common suggestion is that we should “solve the alignment problem” for such agents. We show that current discourse around this suggestion often uses a particular framing of artificial intelligence (AI) alignment as ...
Simon Friederich, Leonard Dung
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
Journal of the Association for Information Science and Technology, Volume 77, Issue 1, Page 133-162, January 2026.Abstract In today's digital age, misinformation propagates rapidly through digital channels, blurring the lines between truth and fiction, and challenging the foundations of trust in information sources. Although affecting all spheres of life, misinformation poses a significant threat to workers highlighting a critical intersection between ...
Ashwani Malhotra +4 more
wiley +1 more source
Ensemble-Based Biometric Verification: Defending Against Multi-Strategy Deepfake Image Generation
ComputersDeepfake images, synthetic images created using digital software, continue to present a serious threat to online platforms. This is especially relevant for biometric verification systems, as deepfakes that attempt to bypass such measures increase the ...
Hilary Zen +9 more
doaj +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