Introduction to Counterfactuals in Understanding Black-Box Predictions

This is an introduction to how we can explain "black box predictions" done by AI models using counterfactual explanations. You'll understand basic concepts and how we use OptaPlanner as a search engine to support our Trusty AI implementation.

00:00 Opening
00:10 Introduction to counterfactuals
00:30 What is a counterfactual
01:47 Counterfactual desiderata
02:10 Counterfactual Properties: What is Validity
04:40 Counterfactual Properties: What is Sparsity
05:58 Counterfactual Properties: What is Actionability
07:36 Using a constraint solver (OptaPlanner) to find the best counterfactual candidate