Deep learning / Deepfakes Research Proessor Mahmood, Student Fahd M. Saleem (G01154081) IT-104-214 (Fall 2018)
Envision humanity in disbelief as reality becomes indistinguishable by the human eye, as what’s false is soon believed true. Leading to a future with false Innovation ultimately contributing to rising automation being superbly superior. This fate is our current reality as described in countless newspapers, reports, magazines, interviews, and even blogs. Throughout history, industrialization & innovation is what lead to societal growth, an increase which generally holds a positive connotation is inevitably leading to reality’s demise through deep fakes. To adequately understand deep fakes, we must first understand deep learning, in which artificial intelligence is exposed to information to evaluate. We commonly see the process of deep learning in many fun and interactive social media apps such as Snap Chat, which allows for face swapping, and the application of elaborate yet realistic filters. However, this process can lead to deep fakes, where AI knowledge is used to impose a person’s face onto another person with distinctly identical results usually for malicious intent. Throughout recent years this technology has been used for misinformation & mass manipulation leading to various legal, ethical & security concerns.
