explainability

Model explanations via column generation

In this post, I’ll review a paper from 2018 that deals with generating boolean decision rules and uses column generation. The paper is well worth the read if you are interested in explainable AI models.

Scenario-based XAI for Humanitarian Aid Forecasting

One domain application of artificial intelligence (AI) systems is humanitarian aid planning, where dynamically changing societal conditions need to be monitored and analyzed, so humanitarian organizations can coordinate efforts and appropriately …