
TECHNOLOGY
Provenance
For Provenance, we define applicability from the purpose and constraints, including conditions where it should not be used. Avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.
Item 1 of 1: Provenance
Trustworthy AI
Provenance
For Provenance, we define applicability from the purpose and constraints, including conditions where it should not be used. Avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.
Scope
For Provenance, we define applicability from the purpose and constraints, including conditions where it should not be used.
Design decisions
For Provenance, we avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.
Validation
For Provenance, we use repeatable inputs and criteria and inspect failure cases as well as expected behavior.
Operational review
For Provenance, we track changes, quality shifts, and use patterns while keeping a path for rollback.
Human governance
For Provenance, we do not leave consequential decisions to automation alone and define accountable review points.