Glossary

AI in Entertainment

What is AI in Entertainment?

AI in entertainment refers to the use of AI in film, music, games, streaming and media. Typical applications include recommendation systems that suggest content according to taste, support for editing, visual effects and dubbing, generated game worlds or characters, and music and image generation. At the same time it raises questions about copyright, performers' consent and deepfakes. Example: a streaming platform tailors its home screen to each profile.

Topics

  • Media
  • Entertainment
  • Generative AI

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Related terms

Generative AI

Generative AI refers to AI systems that create new content – text, images, audio, video or program code – rather than merely sorting or assessing existing data. They are based on models that learn patterns from large amounts of data and use them to produce plausible new outputs. In business it is used, for example, to draft emails, summaries, product descriptions or image ideas. Results can contain errors and should be checked before use.

  • Core concept
  • Content creation
  • +1

Deepfake

A deepfake is an image, video or audio clip created or altered with AI that convincingly shows real people saying or doing things that never happened. Alongside legitimate uses in film or dubbing, deepfakes are used for disinformation, reputational damage and fraud – for example fake calls from a supposed manager requesting a bank transfer. Protection includes call-backs via known channels, clear approval processes and labelling of AI-generated content.

  • disinformation
  • fraud
  • +1

Stable Diffusion

Stable Diffusion is a family of image generation models that create pictures from a text description. The first version was released in 2022, developed under the lead of Stability AI together with research partners. Technically it is a latent diffusion model that gradually turns image noise into a picture. Because the model weights are published, it can be run and customised locally; commercial use of newer versions is governed by Stability AI's own licence (as of October 2026).

  • image generation
  • diffusion model
  • +1

Text-to-Speech (TTS)

Text-to-speech converts written text into spoken language, making it the counterpart of speech recognition (speech-to-text). Modern systems use neural networks to produce natural-sounding voices with appropriate intonation. TTS is used in telephone announcements, navigation devices, read-aloud functions for accessible websites and voice assistants.

  • Speech output
  • Audio
  • +1