Counterfactual Explanations for Explainable AI

Advanced

Learn to generate 'what-if' explanations that show the minimal changes needed to flip a model's decision. Master constrained optimization, actionability constraints, and plausibility validation.

90 min Lab: notebook 5 objectives 4 evidence types
Open Interactive Lab
90
Minutes
5
Objectives
4
Evidence Types
4
Success Criteria

Case Narrative

Learning Objectives

1
Understand counterfactual explanations as a form of explainability
2
Formulate counterfactual generation as constrained optimization
3
Apply actionability constraints for real-world applicability
4
Validate plausibility of generated counterfactuals
5
Generate diverse sets of counterfactual explanations

Required Evidence

Counterfactual Generation Not collected yet
Constraint Satisfaction Not collected yet
Plausibility Evaluation Not collected yet
Diversity Assessment Not collected yet

Case Details

Difficulty
Advanced
Duration
90 min
Lab Type
notebook
Slug
counterfactual-generation

Prerequisites

No prerequisites - open to all

Success Criteria

Constraints Applied Required
Counterfactual Generated Required
Diversity Achieved Required
Plausibility Verified Required

Tags