Practice Conceptual Categorization of XAI Methods - 3.2 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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3.2 - Conceptual Categorization of XAI Methods

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Explainable AI (XAI)?

πŸ’‘ Hint: Think about why explaining AI decisions could be important.

Question 2

Easy

Define local explanations in the context of XAI.

πŸ’‘ Hint: Consider a specific decision an AI model makes.

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 purpose of Explainable AI (XAI)?

  • To improve AI performance
  • To make AI predictions understandable
  • To increase data size

πŸ’‘ Hint: Think about why understanding AI is critical in many applications.

Question 2

True or False: Local explanations provide insights into the overall model performance.

  • True
  • False

πŸ’‘ Hint: Consider what local explanations aim to clarify.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze a scenario where AI is used in loan approvals without using XAI. Discuss potential consequences.

πŸ’‘ Hint: Consider the importance of accountability in financial decisions.

Question 2

Design an XAI method for a healthcare AI application. Discuss features to consider and potential biases.

πŸ’‘ Hint: Think about the implications of past data in making healthcare decisions.

Challenge and get performance evaluation