Trustworthy AI

Safety

For Safety, 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 Safety, we define applicability from the purpose and constraints, including conditions where it should not be used.

Design decisions

For Safety, we avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice.

Validation

For Safety, we use repeatable inputs and criteria and inspect failure cases as well as expected behavior.

Operational review

For Safety, we track changes, quality shifts, and use patterns while keeping a path for rollback.

Human governance

For Safety, we do not leave consequential decisions to automation alone and define accountable review points.