Understanding Deepfake Technology In The Age Of Artificial Intelligence

Abstract

Emerging technologies like Big Data, Artificial Intelligence, Data Analytics, Machine Learning, Artificial Neural Networks, and Deep learning are the vast point of apprehension for technocrats these days. These technologies are required to cope up with the challenges of the data generated by this generation. Deep fake is one such technology that is a combination of deep learning and synthetic media. Deep fakes are hyper-realistic videos digitally controlled to illustrate people saying and doing things that never actually happened. The modus operandi involves footage of two people into a deep learning algorithm to train it to swap faces. In other words, deep fakes use Facial Mapping Technology and Artificial Intelligence that swap the face of a source person with the target person on a video. In the past few years, Deep fake has become a problem that is a threat to public discourse, human society, and democracy. False information flows quickly through social media, where it can hit millions of users. This paper gives an insight into Deep Fake technology to evade its use to spread misinformation, damage reputations, and harm individuals.