Knightian Uncertainty
In 1921, Keynes and Knight stressed the distinction between uncertainty and risk. While risk involves calculable probabilities, uncertainty lacks a scientific basis for probabilities. Knightian uncertainty exists when outcomes can't be assigned probabilities. This poses challenges in decision‑making and regulation, especially in scenarios like AI, urging caution for eliminating worst‑case scenarios due to potential high costs and missed benefits.