In the modern age of digitalization, the world is always more than eager to welcome new technologies that offer people unprecedented advantages that make modern life a tad bit easier. Over the course of recent years, however, as more and more enterprises ride the wave of digitalization and continue to integrate technologies such as cloud computing into their digital infrastructure- the use of Artificial Intelligence (AI) and Machine Learning (ML) has risen in the cybersecurity world as a staple in providing security to enterprises in an increasingly complex threat landscape. However, unfortunate as it may be, the AI technology has often been exploited against enterprises, with statistics depicting a bleak picture, with more and more cyber-criminals turning to AI for launching increasingly sophisticated cyberattacks. One such dark side of AI definitely reveals itself in "deepfakes." If you've been following the slightest bit of cybersecurity news, chances are you're familiar with the term "deepfakes."
A perfect storm arising from the world of pornography may threaten the U.S. elections in 2020 with disruptive political scandals having nothing to do with actual affairs. Instead, face-swapping "deepfake" technology that first became popular on porn websites could eventually generate convincing fake videos of politicians saying or doing things that never happened in real life--a scenario that could sow widespread chaos if such videos are not flagged and debunked in time. The thankless task of debunking fake images and videos online has generally fallen upon news reporters, fact-checking websites and some sharp-eyed good Samaritans. But the more recent rise of AI-driven deepfakes that can turn Hollywood celebrities and politicians into digital puppets may require additional fact-checking help from AI-driven detection technologies. An Amsterdam-based startup called Deeptrace Labs aims to become one of the go-to shops for such deepfake detection technologies.
None of these people exist. These images were generated using deepfake technology. Last month during ESPN's hit documentary series The Last Dance, State Farm debuted a TV commercial that has become one of the most widely discussed ads in recent memory. It appeared to show footage from 1998 of an ESPN analyst making shockingly accurate predictions about the year 2020. As it turned out, the clip was not genuine: it was generated using cutting-edge AI.
Last week Google released several thousand deepfake videos to help researchers build tools that use artificial intelligence to spot altered videos that could spawn political misinformation, corporate sabotage, or cyberbullying. Google's videos could be used to create technology that offers hope of catching deepfakes in much the way spam filters catch email spam. In reality, though, technology will only be part of the solution. That's because deepfakes will most likely improve faster than detection methods, and because human intelligence and expertise will be needed to identify deceptive videos for the foreseeable future. Deepfakes have captured the imagination of politicians, the media, and the public.
Deepfake technology (DT) has taken a new level of sophistication. Cybercriminals now can manipulate sounds, images, and videos to defraud and misinform individuals and businesses. This represents a growing threat to international institutions and individuals which needs to be addressed. This paper provides an overview of deepfakes, their benefits to society, and how DT works. Highlights the threats that are presented by deepfakes to businesses, politics, and judicial systems worldwide. Additionally, the paper will explore potential solutions to deepfakes and conclude with future research direction.