2604.00505 A Practical Monte Carlo Tool for Government AI Investment Decisions: Tiered Risk, Retraining-Aware Degradation, and Executable Code
We contribute a Monte Carlo simulation tool for government AI investment appraisal addressing three gaps in existing approaches. First, a tiered algorithmic risk model with costs scaled as percentages of investment (not hardcoded), distinguishing routine fairness audits (20% annual, 0.