Which of the following BEST ensures representativeness in AI systems when assessing training data periodically?

Representativeness means that training data accurately reflects thecurrent real-world environmentin which the AI system operates. The BEST way to ensure this is by verifying that thetraining data remains relevant and aligned with evolving real-world conditions(C). This controls the risk of model degradation, bias, or drift as environments change. AAIA emphasizes continual reassessment of data relevance, freshness, and contextual accuracy.

Manual review (A) is limited in scope and scale. Automated validation (B) helps detect errors but does not ensure data reflects the real world. Synthetic data (D) supplements but does not guarantee representativeness unless calibrated properly. Therefore,continuous relevance and contextual alignmentis the most important factor.