Deep learning / Deepfakes Research Proessor Mahmood, Student Fahd M. Saleem (G01154081) IT-104-214 (Fall 2018)
In addition, within the research, it was prevalent that due to the constant advancements, the accessibility to produce such material is relatively easy. Without the need for a powerful PC, even common devices are capable of producing video modifications in ideal standards varying in quality (The Economist, 2018). As a result, even free to use programs allow for video modifications. The free available programs, as well as tools, eventually could lead to the increased rise in deep fakes. Comparatively prices for professional video editing software with advanced AI capabilities will soon become cheaper as time progresses. This overall contributes to the social problems caused by the technology of deep fakes. These social problems, however, are not just caused by the manipulated video, but by audio as well immensely increasing the realistic appeal of the deep fakes. In conjunction with face swapped videos and manipulated audio, online communities & the public are oblivious to the fact that some of these videos are considerably fake. This entire issue not only further contributes to the social problems concerned with the issue of deep fakes but creates a sense of misinformation among the general public.
