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