Module v1.0 · Required
FFARC-302 - Risk Mapping, Testing, and Measurement: learning module
Map AI risks and design representative tests for quality, privacy, security, fairness, and explainability.
What you will practice
Map risks to controls; create representative evaluation examples; define measurable thresholds; and document limitations without treating tests as proof of compliance.
0 of 3 sections complete
Not started
Context and purpose
Understand the outcome, boundaries, and evidence expected from this class track.
Map AI risks and design representative tests for quality, privacy, security, fairness, and explainability.
This review-stage module is a platform-owned baseline. An adopting instructor should align terminology, examples, policy references, and escalation contacts to the organization before activation.
- Purpose and intended audience are clear
- Permitted and prohibited practice boundaries are visible
- Evidence and completion expectations are stated
- Adopter-specific policy questions are captured