Artificial intelligence technologies have been used to enhance deepfake campaigns. Deepfake is defined as synthetic media where a real person’s image is replaced with someone else’s likeness. It can be used to create an artificial video of another person and make it look real. It has been used to create celebrity porn videos, revenge porn, or fake news. It uses deep learning artificial intelligence software to create a fake picture or video. So, in essence, it can threaten valid and truthful information by publishing false or inaccurate information.
The technology that permits the creation of deepfake is “deep neural networks” which is one kind of artificial intelligence algorithm that finds large data set patterns. The neural-network structure that is generally used is the “autoencoder” which comprises of an encoder and decoder. The encoder compresses the image to a smaller size and the decoder decompresses the image back to the original size. A similar technology is the VFX which has been used by movie studios for visual effects. However, at the present time, a similar and less expensive technology is available.
There can be problems with deepfake technologies. For example, it’s been used to create fake images or videos of well-known individuals. This, in and of itself, can create legal issues such as defamation, false light, and civil harassment. Defamation is a false factual statement that is not privileged and tends to harm someone’s reputation. Defamation can occur against individuals and corporations and can have a lasting negative effect. False light is similar to defamation but it usually concerns invasion of privacy. So, for example, it can happen when a person is falsely portrayed as something he or she is not due to inaccurate impressions. The Restatement Second of Torts, Section 652, defines it as follows: