TECHNOLOGY
Privacy
A concise overview of Privacy, how it relates to Trustworthy AI, key considerations, and conditions to confirm.
Item 1 of 1: Privacy
Trustworthy AI
Privacy
A concise overview of Privacy, how it relates to Trustworthy AI, key considerations, and conditions to confirm.
Scope
For Privacy, 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 Privacy, 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 Privacy, 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 Privacy, 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 Privacy, 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.