Even after identifying and mitigating bias, organizations must ensure that AI outputs do not create unacceptable risks .
AAIA emphasizes that bias mitigation must result in:
* Fair outcomes
* Justifiable predictions
* No disproportionate harm to any demographic group
* Alignment with organizational risk tolerance
Option B reflects this requirement, ensuring that the model's real-world impact aligns with documented risk thresholds.
Option A is supportive but not validation of effectiveness.
Option C is performance-related, not fairness-related.
Option D is privacy-related, not bias-related.
Thus, confirming output impacts against risk tolerance is the most important validation step.
References:
AAIA Domain 5: Ethical AI, Fairness Validation
AAIA Domain 1: Risk Governance and Threshold Assessments