The actuarial approach to pricing gave us price optimisation – and the loyalty penalty – now banned by regulation.
But should we also question the traditional actuarial view of fairness in pricing:
- that the price should reflect the most accurate view of the risk?
- The insurance industry is the single biggest contributor to the poverty premium, in which low-income households pay more for essential services. Is this fairness in action?
- And, as the use of AI and machine learning in pricing increases the complexity of algorithms, will notions of fairness become lost in the ‘black box’?
- How will and should regulators respond?
With live audience polling and interaction, this session:
- examines the idea of fairness from technical, ethical, and socio-political perspectives
- poses some searching questions on what fairness means in insurance pricing, and
- explores some possible responses