Defined scope
- Machine learning
- Media generation
- Latent spaces
- Creative workflows
- Provenance
CONCEPT
Generative AI
Generative AI refers to machine-learning systems that produce or transform media such as text, image, audio, video, code or structured data from learned patterns.
Generative AI connects machine learning, creative workflows, latent spaces, risk management, provenance, authorship and cultural production.
active
research
EDITORIAL FRAME
What this entry establishes.
A concise view of its scope, position, limitations and supporting sources.
Editorial position
- Generative AI should be evaluated through provenance, constraints, use context and human judgment.
- Creative use of generative AI is stronger when it documents prompts, sources, edits, selection and rights.
Explicit limits
- Rule-based generation with no learned model
- Claims of autonomous creativity that erase human, dataset and infrastructure roles
Tags and disciplines
Generative AIMachine LearningProvenanceCreative WorkflowsArtificial IntelligenceCreative CodingDigital Art
References behind this page
- AI Risk Management Framework NIST / 2023-01-26
Definition
Generative AI describes learned systems that produce or transform media. The output may be text, image, sound, video, code or structured data.
Scope
The concept includes foundation models, latent spaces, diffusion, transformers, prompts, embeddings, datasets, evaluation, provenance and human editing.
Applications
Electronic Artefacts can use generative AI as a research topic and production method when outputs remain connected to sources, constraints and interpretation.
Limitations
Generative AI can obscure training data, authorship, rights and confidence. Responsible practice documents process and avoids claiming certainty where the system provides probability.
References
See NIST AI RMF, provenance, generative systems and augmented intelligence.
DOCUMENTED RELATIONSHIPS
Connected work and ideas.
Each link names the relationship between two entries and why it matters.
Responsible AI Governance for Creative and Cultural Systems
Responsible AI Governance for Creative and Cultural Systems documents governance practices for generative AI use in creative systems.
Generative AI, Latent Space and Creative Workflows
Generative AI, Latent Space and Creative Workflows documents generative AI as a creative workflow topic.
How Large Language Models Actually Work
How Large Language Models Actually Work situates LLMs within generative AI.
C2PA Content Credentials and Generative Media Provenance
C2PA Content Credentials and Generative Media Provenance documents Generative AI as one of its declared subjects.
EU AI Act Transparency, Content Provenance and Creative Practice
EU AI Act Transparency, Content Provenance and Creative Practice documents Generative AI as one of its declared subjects.
Multimodal AI Across Text, Image, Audio and Video
Multimodal AI Across Text, Image, Audio and Video documents Generative AI as one of its declared subjects.
WebNN and Local AI in the Browser
WebNN and Local AI in the Browser documents Generative AI as one of its declared subjects.
Knowledge Hub Second Wave
Generative AI is an explicit member of the Knowledge Hub Second Wave collection.
Record details Metadata, sharing and citation
Generative AI
Cite this page
Generative AI. 1.0.0. Electronic Artefacts, 2026-06-24. https://electronicartefacts.com/knowledge/concepts/generative-ai/
Nearby relationships
8 public links connect this page to nearby projects, concepts and references.