System Attribution
System Attribution identifies the AI system involved in the creation or modification of digital content. While the FAIA Flags describe the overall nature of the resulting work and Activity Codes describe how AI contributed during the workflow, System Attribution records which AI technology was used.
Identifying the AI system adds transparency, reproducibility, and context. Different AI systems, and different releases of the same system, can vary substantially in capabilities, training data, behaviour, limitations, safeguards, and licensing conditions. Recording this information allows AI involvement to be interpreted more accurately.
FAIA defines two complementary attribution fields: System and Version.
System
The System field identifies the AI system, model, service, or model family used to generate or modify content. Where possible, the provider's official designation should be used.
Examples include:
ChatGPTClaudeGoogle GeminiDALL·EStable Diffusion 3Midjourney
Version
The Version field identifies the specific release or version of the AI system used. Where known, the designation should follow the naming or numbering scheme used by the system provider.
Examples include:
5.2
Sonnet 4
2.5 Pro
v1.3.2
Beta-2
2025-10-release
Why it matters
System and Version together support transparency, reproducibility, regulatory disclosure, rights management, and informed interpretation of AI-involved content. The version in particular provides precise context about system behaviour, capabilities, limitations, and known issues at the time of use, since different releases of the same system may differ substantially in performance, training data, safeguards, or output characteristics.
Design Principles
System Attribution identifies the AI technology involved in the content lifecycle. It does not describe the degree of AI involvement or the role AI played during creation, which are represented separately through the FAIA Flags and Activity Codes.
Every System Attribution may contain a System value and, where available, a Version value. Together they provide a consistent, machine-readable way to identify the AI technology used, complementing the broader FAIA attribution framework.
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