Abstract

Should different people be treated equally or should, as insurers tell us, different people be treated differently? Is discrimination bad, or is it good? Does today’s reliance on machine-generated algorithms to turn risk into measurable uncertainty differ in essence from trusting the actuarial tables generated by de Moivre from a London coffee house? Do legal regulations assure fair balance of the costs and benefits? What about inclusive social insurance?

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