New Framework Quantifies Automation Risk in AI Systems
A new Bayesian framework quantifies automation risk in AI systems across finance, healthcare, transportation, and infrastructure. The framework decomposes expected loss into probability of failure, failure propagation, and harm severity, aiming to optimize oversight and prevent failures. A Knig