The Emerging AI Technology Deepfake

Artificial Intelligence (AI) has given rise to a new technology called Deepfake. Deepfake Technology (DT) involves replacing one person's face with that of another in digital content, often for malicious purposes. The most prominent model that operates behind Deepfake is the Generative Adversarial Network (GAN), which operates autonomously. It creates convincingly forged content from a variety of inputs. DT raises significant concerns among legal experts and scholars and has become a worldwide phenomenon due to its easy accessibility and wide availability. The impact of DT can be seen in areas such as politics, journalism, and the legal system. Although DT has potential positive uses as well as negative ones, the detrimental consequences tend to overshadow the benefits. The rapid global spread of DT underscores the urgent need for effective detection methods. Several techniques, such as Convolutional Neural Networks (CNNs), MesoNet, face detection, and multimedia forensics, are discussed here. This paper provides a brief overview of Deepfake technology, its developing field, the associated threats, and the methods used for detection. Deepfake encompasses a broad range of applications, which are also covered here. It can offer creative advantages while simultaneously posing significant risks. The technology for detection is advancing quickly in tandem with improvements in Information and Communication Technology (ICT). The primary emphasis of this paper is on examining the different techniques available for detecting this emerging field.