Practice Counterfactual Explanations - 3.4 | Explainable AI (XAI) and Model Interpretability | Artificial Intelligence Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are counterfactual explanations?

💡 Hint: Think of the 'what if' scenarios.

Question 2

Easy

Why are counterfactual explanations important?

💡 Hint: Consider their role in understanding decisions.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main purpose of counterfactual explanations?

  • To change model architecture
  • To analyze changes in outcomes
  • To enhance computational speed

💡 Hint: Focus on the 'what if' aspect.

Question 2

True or False: Counterfactuals can help in identifying bias in AI models.

  • True
  • False

💡 Hint: Reflect on fairness and accuracy.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a counterfactual scenario for a hiring algorithm to understand how various qualifications affect hiring decisions.

💡 Hint: Focus on individual qualifications adjustments.

Question 2

Critique the role of counterfactual explanations in addressing bias in AI systems. Provide examples.

💡 Hint: Consider real-world applications such as credit scoring.

Challenge and get performance evaluation