Explainable AI Scepticism

For context, I work in a regulated industry where model interpretability has a large emphasis, from both the business and regulators. We use a lot linear models, like OLS, logistic regression, and GAMs to account for non-linear relationships. Recently, some of the data science leadership has been pushing us to explore machine learning models to see if and how large the predictive gains are.

Not surprisingly, XGBoosts, Random Forests, among others, show a small increase in predictive accuracy compared to …

business context data data science datascience data science leadership explainable ai explore industry interpretability leadership linear logistic regression machine machine learning machine learning models model interpretability non-linear ols regression regulators relationships science work