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Disinformation

As explained in Inside AI

Disinformation is false or misleading information intentionally spread to manipulate public perception or achieve an agenda.

Disinformation is false or misleading information intentionally spread to manipulate public perception or pursue an agenda. It differs from accidental misinformation because intent is central. Generated content can blur fact and fiction, making false narratives easier to accept and circulate. section 5.3.2 section 5.10

A fabricated incendiary video

A person could use generative AI to create a convincing video of people burning a sacred book. Shared as genuine, the video could provoke extreme reactions, manipulate opinion, and deepen social division. section 5.10 section 5.3.2

Disinformation can produce several practical harms:

  • Misleads people about current events, health choices, and political or social issues. section 5.3.2
  • Weakens trust in news organizations, governments, and scientific authorities when genuine and fabricated content become difficult to distinguish. section 5.3.2
  • Amplifies propaganda through repeated messaging and enables large volumes of realistic text, images, and video. section 5.10
Figure 5.2 ChatGPT prompt and output required five attempts to generate correct information.
figure

The figure illustrates how repeated prompting was needed before ChatGPT produced correct information, underscoring why generated claims require verification. section 5.3.2

How Inside AI covers it

How deep it goes
Defines intent, explains social consequences, and gives an AI-generated incitement scenario, but stops short of detection or prevention procedures.
Examples
Uses a fabricated sacred-book-burning video and ChatGPT’s incorrect personal claims to demonstrate persuasive false content.
What you can do after
Evaluate generated claims cautiously and recognize how false narratives can influence beliefs, decisions, trust, and social relations.
How it connects
Connects disinformation with misinformation, generative AI, large language models, propaganda, hallucination, polarization, and social cohesion.

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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.