A survey of algorithmic recourse: contrastive explanations and consequential recommendations
Machine learning is increasingly used to inform decision making in sensitive situations
where decisions have consequential effects on individuals' lives. In these settings, in …
where decisions have consequential effects on individuals' lives. In these settings, in …
Explainable artificial intelligence (xai) in insurance
Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …
understandable relationship between humans and machines. The insurance industry …
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
AH Karimi, G Barthe, B Schölkopf, I Valera - ar**, demonstrating, and
pushing the use of specific algorithms and models. The process of data mining stops at …
pushing the use of specific algorithms and models. The process of data mining stops at …
Counterfactual explanations for oblique decision trees: Exact, efficient algorithms
We consider counterfactual explanations, the problem of minimally adjusting features in a
source input instance so that it is classified as a target class under a given classifier. This …
source input instance so that it is classified as a target class under a given classifier. This …
Domain driven data mining
Quantitative intelligence based traditional data mining is facing grand challenges from real-
world enterprise and cross-organization applications. For instance, the usual demonstration …
world enterprise and cross-organization applications. For instance, the usual demonstration …