… responsible use, a prerequisite is to understand the gaps in knowledge that prevent responsible
use, as well as potential risks … are needed to ensure responsible use. In this Perspective, …

… Of course, all statistical credit scoring uses data to some degree, but AI scoring is unique in
the sheer volume of data processed and the number … The model assigned risk scores on the …

… In terms of interpretation of direction of QI scores, we found different methods of scoring:
those for evaluating whether necessary or appropriate care was provided and those for …

… whether improved risk prediction algorithms can be developed that use these markers. … the
study and take responsibility for the integrity of the data and the accuracy of the data analysis. …

… Enterprise risk departments are responsible for the management of both financial and …
may use risk scoring as one of several measures to gauge the creditworthiness (or claims …

… In order to compare the expected loss between the different data sets, we do not only
estimate the expected loss within the score information of one provider, but also use sub-samples …

… , we derived a risk score that predicts patients' risks of needing … score, we developed a
simplified fast-track screen for use at … A single researcher was responsible for identification and …

… -risk users and at-risk users that used the tool reduced their spending on gambling compared
to non-risk and at-risk users that did not use … risk rating predicted a higher degree of usage …

… Interestingly, credit scoring models are explicitly given as an example of a high-… level
description of use cases, based on actually existing AI technology within risk management functions …

… that calculates a risk score based on the intensity of play over a 10-week span. The risk score
is … That is, are players who agree to use an RG tool inherently more responsible than those …