Practice Adversarial Debiasing - 1.3.2.2 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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1.3.2.2 - Adversarial Debiasing

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main goal of adversarial debiasing?

πŸ’‘ Hint: Think about fairness in model outcomes.

Question 2

Easy

What are the two components of the adversarial system?

πŸ’‘ Hint: One aims to predict outcomes, the other aims to predict sensitive attributes.

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 purpose of adversarial debiasing?

  • To increase accuracy
  • To reduce bias
  • To simplify models

πŸ’‘ Hint: Remember the focus on fairness.

Question 2

True or False: The adversary model is less important than the predictor model in adversarial debiasing.

  • True
  • False

πŸ’‘ Hint: Think about the roles of each model.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a novel approach to enhance adversarial debiasing techniques, detailing potential outcomes and benefits.

πŸ’‘ Hint: Think about inclusivity and adjustability in model training.

Question 2

Evaluate the implications of adversarial debiasing in social credit systems, addressing both potential benefits and ethical concerns.

πŸ’‘ Hint: Balance between fair treatment and individual rights.

Challenge and get performance evaluation