ABSTRACT Artificial intelligence (AI) is transforming higher education, yet student leadership programs have failed to engage this transformation. This article examines four imperatives for integrating AI into leadership education: AI as pedagogy, AI literacy as leadership competency, student agency in institutional AI transformation, and AI‐enhanced ...
Kris Acheson
wiley +1 more source
SupCon-MPL-DP: Supervised Contrastive Learning with Meta Pseudo Labels for Deepfake Image Detection
Recently, there has been considerable research on deepfake detection. However, most existing methods face challenges in adapting to the advancements in new generative models within unknown domains.
Kyeong-Hwan Moon +2 more
doaj +1 more source
Artificial intelligence for deepfake detection: systematic review and impact analysis [PDF]
Deep learning and artificial intelligence (AI) have enabled deepfakes, prompting concerns about their social impact. deepfakes have detrimental effects in several businesses, despite their apparent benefits. We explore deepfake detection research and its
Sri Nagesh, Ayyagari +1 more
core +2 more sources
Susceptibility to misinformation and propaganda during wartime: Evidence from the Israel‐Gaza war
Abstract Advances in digital technologies have facilitated the creation and dissemination of misinformation, creating a complex information ecosystem where distinguishing between real and fake content has become increasingly challenging. Wars, in particular, present a unique case in which misinformation is often weaponized to shape public perception ...
Nur Givon‐Benjio +2 more
wiley +1 more source
Comprehensive multiparametric analysis of human deepfake speech recognition
In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research.
Kamil Malinka +5 more
doaj +1 more source
Deepfake Detection Method Integrating Multiple Parameter-Efficient Fine-Tuning Techniques [PDF]
In recent years, as deepfake technology matures, face-swapping software and synthesized videos have become widespread. While these techniques offer entertainment, they also provide opportunities for misuse by malicious actors.
ZHANG Yiwen, CAI Manchun, CHEN Yonghao, ZHU Yi, YAO Lifeng
doaj +1 more source
Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
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 +3 more
doaj +1 more source
Deepfake detection: challenges and solutions [PDF]
Deepfakes can have a serious impact on the spread of fake news and on people's lives in general, becoming every day more dangerous. Moderation of online content and databases is vital to mitigate this phenomenon but the development of systems to distinguish between fake and genuine content comes with its own challenges: (a) The lack of generalization ...
openaire +2 more sources
Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects
In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia. Though technology has primarily been utilized for beneficial purposes,
Naveed Ur Rehman Ahmed +5 more
doaj +1 more source
Privacy as a Defense Against Premature Representation
Journal of Social Philosophy, EarlyView.
Jordan Wallace‐Wolf
wiley +1 more source

