Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance. (arXiv:2208.10916v1 [cs.LG])

Of late, in order to have better acceptability among various domain,
researchers have argued that machine intelligence algorithms must be able to
provide explanations that humans can understand causally. This aspect, also
known as causability, achieves a specific level of human-level explainability.
A specific class of algorithms known as counterfactuals may be able to provide
causability. In statistics, causality has been studied and applied for many
years, but not in great detail in artificial intelligence (AI). In a
first-of-its-kind study, …

application arxiv banking causal inference customer relationship management inference insurance lg management relationship