TECHNOLOGY
Incident Response
A concise overview of Incident Response, how it relates to Trustworthy AI, key considerations, and conditions to confirm.
Item 1 of 1: Incident Response
Trustworthy AI
Incident Response
A concise overview of Incident Response, how it relates to Trustworthy AI, key considerations, and conditions to confirm.
Scope
For Incident Response, we define applicability from the purpose and constraints, including conditions where it should not be used. The relationship to Trustworthy AI remains visible so the reasons behind each decision can be reviewed.
Design decisions
For Incident Response, we avoid locking the design to one model or platform, separate data, integration, and monitoring, and record the reasons for each choice. The relationship to Trustworthy AI remains visible so the reasons behind each decision can be reviewed.
Validation
For Incident Response, we use repeatable inputs and criteria and inspect failure cases as well as expected behavior. The relationship to Trustworthy AI remains visible so the reasons behind each decision can be reviewed.
Operational review
For Incident Response, we track changes, quality shifts, and use patterns while keeping a path for rollback. The relationship to Trustworthy AI remains visible so the reasons behind each decision can be reviewed.
Human governance
For Incident Response, we do not leave consequential decisions to automation alone and define accountable review points. The relationship to Trustworthy AI remains visible so the reasons behind each decision can be reviewed.