We recently uploaded a revised version of our joint paper A Fair Pricing Model via Adversarial Learning, on ArXiv. At the core of insurance business lies classification between risky and non-risky insureds, actuarial fairness meaning that risky insureds should contribute more and pay a higher premium than non-risky or less-risky ones. Actuaries, therefore, use econometric or machine learning techniques to classify, but the distinction between a fair actuarial classification and `discrimination’ is subtle. For this reason, there is a growing interest about fairness and … <a …