Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. While the act of faking content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive. The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures.
Potential Applications:
- One person managing multiple receptions across different geographical location using this technology.
- Combining chatbot* or Siri like AI as the back end with deepfake, it can become a virtual customer service representative without any human intervention
Potential Risks:
- Criminal using this technology to send out deceiving video/audio/images to scam victims.
- Someone abusing this technology to bully others or spreading fake news
*Our course will look at how to build a simple chatbot
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