This article argues that probability and risk are taught most effectively through high-stakes simulations rather than abstract formulas. Using roulette, slots, baccarat, blackjack, and corporate war games, it shows how learners experience expected value, variance, combinatorics, conditional probability, Bayesian updating, and tail risk in practical settings.
Read MoreBuilding AI responsibly is challenging due to the complex corporate and regulatory environments in which it is developed. Simulations can help professionals, from engineers to policymakers, navigate these complexities and collaborate effectively.
Read MoreResearch on simulations highlights their utility as a learning aid for organisations because they allow managers to learn by doing in a safe environment. The experiential learning environment within a simulation facilitates the transfer of learning back into real life.
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