Conformal Prediction for AI Risk

The application of the statistical framework of conformal prediction to underwriting AI insurance, that is, setting mathematically guaranteed bounds on the probability of an AI system failing. Munich Re uses it in aiSure (up to ~$15M) to determine policy terms, because actuarial tables for AI risks do not exist; continuous monitoring becomes a condition of the policy.