What could indicate a need to update the AI in response to processing reports?

Choosing to update the AI based on higher than expected discarded records is essential because it directly suggests that the AI is not performing effectively in its current state. Discarded records indicate that the AI is unable to process certain inputs accurately, potentially leading to gaps in understanding or interpreting valuable data. If the system is discarding more records than anticipated, it implies that the current algorithms or models may need refinement to enhance processing capabilities and reduce these errors.

This situation can highlight specific areas where the AI may be struggling, allowing teams to assess and improve its predictive accuracy or data handling processes. Addressing such issues promptly can lead to improved overall efficiency and user satisfaction, as well as better insights from the processed data.