Practice Core Concept - 2.3.1 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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2.3.1 - Core Concept

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is bias in the context of AI?

💡 Hint: Think about discrimination in AI systems.

Question 2

Easy

What is one form of bias?

💡 Hint: Consider past data influencing AI 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 primary focus of Explainable AI?

  • Making predictions harder to understand
  • Clarifying model decision-making
  • Maximizing model complexity

💡 Hint: Consider what makes AI more user-friendly.

Question 2

True or False: Accountability is irrelevant in AI ethics.

  • True
  • False

💡 Hint: Remember, whose responsibility it is can matter.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Propose a comprehensive framework to assess fairness in an AI-driven hiring process.

💡 Hint: Break it down step by step.

Question 2

Evaluate the implications of using deep learning models in high-stakes environments like healthcare.

💡 Hint: Think about patient outcomes and ethical responsibilities.

Challenge and get performance evaluation