5 | Case Studies: Challenges for insurers
Summary
Where a protected attribute has a distinct
relationship with risk, and the insurer
charges premiums to customers on the
basis of that protected attribute:
•
For sex, disability, and age, any
discrimination will not be unlawful
provided the data exemption under
SDA, DDA and ADA can be relied upon.
•
For protected attributes under the
RDA, as no data exemption is available
for insurers, this is likely to constitute
unlawful direct discrimination.
Where a protected attribute has a distinct
relationship with risk, even if the insurer
does not use the protected attribute in
price setting (for example, if no insurance
exemption applies), it may be at risk of
unlawful indirect discrimination, as other
correlated rating factors may still infer
this relationship within a risk model.
However:
•
This may be mitigated by careful
use of the protected attribute in the
construction or training of the risk
model, where suitable data is available.
There are a range of proposed
methodologies for this in the academic
literature.75
•
The insurer may not be able to
mitigate against the effect of this
protected attribute in price setting
where no such data can be reasonably
obtained about the protected attribute.
The availability of such data is a factor
that may be considered by the courts
in determining whether the pricing
(being the requirement imposed for
the purpose of the Discrimination Acts)
is reasonable in the circumstances
and, hence, whether unlawful indirect
discrimination has occurred.
This scenario assumes that CIPL has statistical data
that shows the riskiness of drivers from Group A
and Group B. However, insurers will not necessarily
have data clearly showing the risk factors of
different groups and it may not be possible,
or appropriate, to obtain such data. In such a
situation, without relevant data, the insurer may
not be aware of any potential discrimination and
may not be able to mitigate against it.
5.2 Case Study: Travel Insurance
This case study explores common challenges
for insurers when defining standard product
constructs, terms and conditions which are reliant
on data or models.
Travel Insurance Pty Ltd (TIPL) is building a pricing
model for a new travel insurance product. This
product provides emergency health coverage for
accident and sickness during travel.
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