Previously, I mentioned that explainable AI might improve if modern methods were combined with fuzzy logic or decision trees. This paper has examples of hybrid models that improve explainability in that way.
The architectural principles are probably applicable to areas other than financial, time-series forecasting. I hope people experiment with them.