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New dilemma mapping to uncover “hidden” ethical considerations in the insurance and pension sector

We often view data science as an objective and technical discipline where every question has a correct mathematical answer.

However, behind the data and algorithms lie a range of hidden ethical considerations that can be defining for how AI is perceived and behaves—for instance, whether the data used is perceived as intrusive by the customer.

So how do we ensure focus on these “hidden” ethical considerations? ADD researcher Alexander Gamerdinger, in collaboration with Insurance & Pension Denmark, has published a new tool specifically designed for the insurance and pension sector.