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Not only upcoming regulation plays a role - fairness of
treatment lies at the core of insurance in the first place. In the
age of Machine Learning and Artificial Intelligence, analysis and,
potentially, remedy, of direct and indirect discrimination in
insurance decision making - most notably pricing - has become a
more pronounced problem due to increased public interest. But in
stark contrast to, say, chatbots or personal assistance systems,
there are structural aspects preventing companies from creating and
maintaining products that are comprehensively fair in all the
relevant facets.
The purpose of this session is to introduce relevant concepts of
pricing and discrimination therein as well as an overview of
discrimination-reducing concepts from the literature. We will then
draft some toy models, including generation of synthetic data with
particular properties. Afterward, we will review limits and
possibilities toward enabling (some kind of) less-discriminatory
pricing.
Kindly take note: This session is intended as information seminar;
no legal counselling will take place.
Your early-bird registration fee is € 180.00 plus 19% VAT for
bookings by 22 January 2024. After this date, the fee will be €
250.00 plus 19% VAT.
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