AIGP Question of the Day — 8 August 2026
A new free AIGP practice question every few days, with a full explanation.
A regulator asks why an insurer's AI claims model needs continuous monitoring when the insurer's traditional rules engine never required it. Which characteristic of AI most directly justifies the requirement?
- The model's operating costs are higher than the rules engine's and must be tracked over time
- The model's outputs are probabilistic and its performance can degrade as conditions change
- The model processes a far larger volume of claims data than the rules engine handled
- The model vendor's standard contract terms require periodic performance reporting
Machine-learned models produce probabilistic outputs whose accuracy shifts as claims patterns and input data change, so the insurer must keep verifying performance in production (b). Operating cost (a) and data volume (c) are incidental features that do not by themselves require monitoring, and vendor contract terms (d) reflect the underlying risk rather than create it.
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