Practice Illustrative Case Study Examples for In-Depth Discussion - 4.2 | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 14) | Machine Learning
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4.2 - Illustrative Case Study Examples for In-Depth Discussion

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is algorithmic bias?

πŸ’‘ Hint: Look at how AI systems might reflect existing societal prejudices.

Question 2

Easy

Name one ethical concern with using AI in lending.

πŸ’‘ Hint: Consider the impact of past data on current 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 'historical bias'?

  • Bias that occurs due to outdated information.
  • Bias inherited from past societal norms.
  • No bias exists in AI.

πŸ’‘ Hint: Think about how history influences current decisions.

Question 2

True or False: Differential privacy guarantees complete anonymity in AI systems.

  • True
  • False

πŸ’‘ Hint: Consider the degree of privacy needed.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Evaluate a scenario where an AI tool amplifies existing biases in healthcare decisions. Propose ethical remedies.

πŸ’‘ Hint: Consider who is affected by healthcare decisions and how AI could misrepresent them.

Question 2

Critically assess the ethical implications of using LLMs for customer interactions. Discuss privacy concerns and propose safeguards.

πŸ’‘ Hint: Think about the direct impact on individuals using LLMs in sensitive contexts.

Challenge and get performance evaluation