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Synthetic media

As explained in Inside AI

Synthetic media is audio, video, imagery, or other media generated or substantially altered by computational methods.

Synthetic media is audio or video fabricated through deep learning, including convincing recordings of events that never happened. Its creative value for filmmaking is paired with serious risks when audiences mistake fabrication for evidence. section 10.2

Fabricated corporate announcement

A neural network trained on Elon Musk’s interviews could generate a persuasive video announcing Tesla’s bankruptcy. Circulating it as a CEO statement could manipulate stock prices, cause financial harm, and spread chaos before detection. section 10.2

Synthetic media creates practical opportunities but also enables harmful deception:

  • Supports filmmaking through generated audio and video. section 10.2
  • Can influence elections by portraying political opponents in compromising situations. section 10.2
  • Can intensify cyberbullying and damage individuals, corporations, and governments. section 10.2

How Inside AI covers it

How deep it goes
Defines synthetic media and illustrates deepfake harms, but stops short of explaining generation or detection procedures.
Examples
Uses filmmaking, a fabricated Tesla bankruptcy announcement, election manipulation, and cyberbullying as examples.
What you can do after
Evaluate synthetic-media applications by weighing creative benefits against deception, financial damage, political influence, and harassment.
How it connects
Connects synthetic media with deep learning, deepfakes, cyberbullying, election influence, and financial manipulation.

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This explainer was generated by Manning's knowledge graph from the text of Inside AI. The section links point to the parts of the book it draws on.