What are deepfakes used for?


Table of Contents

  1. Generally
  2. Examples
  3. Criticism and Outlook


A deep fake or deep fake is an image or video created with the help of artificial intelligence that looks authentic but is not. The term also denotes the methods and techniques in this context. Machine learning and especially deep learning are used. With deepfakes one wants to create art and objects of illustration or means of discrediting, manipulation and propaganda. Politics and pornography are accordingly closely interwoven with the phenomenon. The media criticize deepfakes and use them intentionally or unintentionally for disinformation.


If faces (face swap) or bodies are replaced by software-controlled images in (moving) images and deceased or living people are associated with invented actions and monologues in films, then it can be a question of deepfakes. Applications such as FakeApp are available for creation. A well-known example is a video with Barack Obama in which he (or his virtual double) ponders how one could insult Donald Trump. Just as neural networks enable deepfakes, they can be useful in unmasking them.

Criticism and Outlook

Like fake news, deepfakes are as interesting as they are sensitive trends in the information society. The developments in the discipline of artificial intelligence will lead to ever better results. Deepfakes can violate personal rights and lead to accusations, entanglements and disputes. They endanger informational autonomy and are thus an issue of information ethics. Furthermore, depending on the case, media, political and business ethics can come into play.