Concept dictionary
Capability Provenance
Capability provenance is the record of where an AI system's abilities came from — the models, data, human input, tools and processes that materially shaped what it can do.
- Review state
- Reviewed in POC
- Freshness
- Current
- Version
- 3
Also called
- Capability Provenance
Remember it this wayWhat made this system able to do that?
In plain language
Capability provenance explains where a system's abilities came from. It connects behavior to material contributors such as training, fine-tuning, retrieval, tools, human feedback, integration, and operational practice.
Why it matters
Teams cannot evaluate control, ownership, risk, or reproducibility if they cannot trace the important contributors to capability.
Example
A coding assistant's performance record identifies its base model, fine-tuning data, retrieval index, execution tools, reviewer feedback, and deployment configuration.
Common misconception
Capability provenance is not a claim that every output can be traced to one training example. It records material contributors to capability at an appropriate level.
Related terms
Sources
No sources recorded yet.
Learn more
- Use with [[verification|Verification]] and [[evidence-selection|Evidence Selection]].