Results 51 to 60 of about 6,295 (185)

Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?

Global Policy, EarlyView.
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley   +1 more source

People have different expectations for their own versus others' use of AI‐mediated communication tools

British Journal of Psychology, EarlyView.
Abstract Artificial intelligence (AI) can enhance human communication, for example, by improving the quality of our writing, voice or appearance. However, AI mediated communication also has risks—it may increase deception, compromise authenticity or yield widespread mistrust. As a result, both policymakers and technology firms are developing approaches
Zoe A. Purcell, Mengchen Dong, Anne‐Marie Nussberger, Nils Köbis, Maurice Jakesch   +4 more
wiley   +1 more source

AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks

Applied Sciences
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

Deepfakes Generation and Detection: A Short Survey

Journal of Imaging, 2023
Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer
Zahid Akhtar
doaj   +1 more source

Too good to be true: Synthetic AI faces are more average than real faces and super‐recognizers know it

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, David White, Clare A. M. Sutherland, Elizabeth J. Miller, Ben A. Steward, Amy Dawel   +5 more
wiley   +1 more source

Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papers

Computers in Human Behavior Reports
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, Tania Lalgi, Isabel Carolin Schröter, Karl F. MacDorman, Martin Teufel, Alexander Bäuerle   +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, Kaur, Achhardeep, Noori Hoshyar, Azadeh, Saikrishna, Vidya, Xia, Feng   +4 more
core   +2 more sources

Enhancing deepfake detection with Adaptive-DCGAN and Lite-CNN: a novel approach to image classification

Discover Applied Sciences
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, Gordhan Jethava, Himani Parmar, Sweta Jethava   +3 more
doaj   +1 more source

Coexistence of Deepfake Defenses: Addressing the Poisoning Challenge

IEEE Access
As Generative Adversarial Networks advance, deepfakes have become increasingly realistic, thereby escalating societal, economic, and political threats. In confronting these heightened risks, the research community has identified two promising defensive ...
Jaewoo Park, Leo Hyun Park, Hong Eun Ahn, Taekyoung Kwon   +3 more
doaj   +1 more source

Deepfake Detection: A Comprehensive Study from the Reliability Perspective

, 2022
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, Chow, Kam Pui, Wang, Tianyi, Wang, Yinglong   +3 more
core