Practice Consider Inherent Trade-offs and Unintended Consequences - 4.1.6 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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4.1.6 - Consider Inherent Trade-offs and Unintended Consequences

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is historical bias in machine learning?

πŸ’‘ Hint: Think about how past societal norms affect current decision-making.

Question 2

Easy

Name one principle of ethical AI development.

πŸ’‘ Hint: These principles help guide the ethical deployment of AI.

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 term describes systematic unfairness in AI?

  • Fairness
  • Bias
  • Accountability

πŸ’‘ Hint: Think about what can lead to unfair treatment in AI decisions.

Question 2

True or False: Transparency is unnecessary for AI public trust.

  • True
  • False

πŸ’‘ Hint: Why is understanding behind AI decisions significant?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Analyze how implementing differential privacy in a machine learning model can help mitigate bias while maintaining model performance.

πŸ’‘ Hint: Consider how distortion of data affects learning without losing valuable patterns.

Question 2

Examine the implications of using biased historical recruiting data in a hiring algorithm. Propose a multi-faceted solution to ensure fairness.

πŸ’‘ Hint: What steps can improve both data quality and recruitment processes?

Challenge and get performance evaluation