Insurance, Risk Assessment and Fairness: An Ethical Analysis

The practice of insuring essentially involves the determination and assignment of risk to individuals. Such determinations are made almost exclusively on the basis of statistical models. As such, the determination of an individual's risk in relation to a particular form of insurance, and thus ultimately to the determination of the cost and availability of that insurance for the individual, is made in relation to her inclusion in certain statistical groups. However, a number of questions, both practical and philosophical, can be raised about the way in which an individual is assessed upon the basis of such statistical modeling. In this paper, I explore some of these issues in relation to questions of fairness. I begin by examining the basic structure of statistical risk assessment for insurance purposes. I argue that the underlying ethical concern involved with such cases involves the manner in which the attributes of the statistical groups used for insurance purposes can be said to fairly represent the individual qua individual. As such, I go on to explore the general philosophical issues involved in applying statistical models to individuals and the fairness of using such applications to make determinations about individuals for insurance purposes.