Two Minute Technology: Deepfakes


Two Minute Technology: Deepfakes

Earlier this year, a series of videos of Tom Cruise started to circulate on TikTok of the actor doing random and surprising stuff; goofing around, playing golf and showing off a few magic tricks. If you don't remember or haven't seen these videos before, I've included a short video compilation of them for you.

Despite the movie star hair and trademark cackle, this is not Tom Cruise. He never filmed these videos. What you just watched may seem like a doppelganger, is actually an example of a deepfake developed by AI and visual effects specialist Chris Umé and his stand-in actor Miles Fisher. While the act of creating fake content is not anything new, deepfakes leverages powerful techniques from machine learning and artificial intelligence.

What are Deepfakes?

Deepfakes are synthetic media in which a person in an already existing image or video is replaced with someone else's likeness; usually manipulated in a way to deceive people. As mentioned before, this portmanteau of the words "deep learning" and "fake," is a form of artificial intelligence that utilizes the technique of machine learning. Machine learning presents the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. In short, it is when computers learn things from data.

What are deepfakes - and how can you spot them?

The use of deepfakes has made it even more difficult to decipher truth from fabrication in many sectors of the world. There have been many negative applications of deepfakes, being used to commit financial fraud, set up political figures and celebrities, creation of sockpuppets, spread misinformation, and much more. Concerns about fraud, misinformation, deterioration of credibility and authenticity is at an all time high as these negative implications become commonplace.

The Upside of Deepfake Technology

Although there are many more cases of deepfakes being used for deception, they are also used for positive innovations as well. For example, deepfake technology has been used by companies to create fun consumer applications, such as Zao and Faceswap that allows users to superimpose their faces on television and movie clips with a single picture. Corporate training videos can be created using deepfaked avatars and their voices. Companies like Synthesia, uses deepfake technology to create avatars to create personalized videos as well.


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