Generative AI
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D2
Generative AI is a class of AI models that generates derived synthetic content by emulating structures and characteristics of input data.
Review status: 2026-11-26
Technical explanation
Its outputs can include text, images, video, audio, or other digital content, so generation describes an output capability rather than one model architecture.
Conceptual boundaries
Generative AI is not synonymous with an LLM, because language models focus on language while generative outputs can span more than text.
Provider-neutral example
A communications team can ask a system to draft text and separately ask for an image concept, then review both before use.
Limitations
The listed output modalities are illustrative; a generative model does not need to produce all of them.
Related concepts
Atomic claims and evidence
1.1NIST AI 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
- Source
- NIST AI 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
- Source role
- Authoritative source
- Exact locator
- Introduction p. 1, footnote 1: Generative AI definition
- Supported claim
- Generative AI is defined as a class of AI models that emulate the structure and characteristics of input data to generate derived synthetic content.
- Last verification
- Review due
- Scope limitation
- This is the definition quoted by the NIST profile from the cited Executive Order.
2.1NIST AI 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
- Source
- NIST AI 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
- Source role
- Authoritative source
- Exact locator
- Introduction p. 1, footnote 1: included digital content modalities
- Supported claim
- The cited definition includes images, videos, audio, text, and other digital content among possible generative-AI outputs.
- Last verification
- Review due
- Scope limitation
- The list illustrates output modalities and does not require every generative model to produce every modality.