Practice Critical Importance (2.3.2) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Critical Importance

Practice - Critical Importance - 2.3.2

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is bias in the context of machine learning?

💡 Hint: Think about the implications of unfair decision-making.

Question 2 Easy

Name two key principles in AI ethics.

💡 Hint: Consider what makes AI systems trustworthy.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does bias in machine learning often lead to?

Increased accuracy
Fair outcomes
Unjust outcomes due to systematic prejudice

💡 Hint: Consider how AI might reflect societal prejudices.

Question 2

True or False: Transparency in AI means making the internal decision-making process clear to all stakeholders.

True
False

💡 Hint: Think about trust in AI systems.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze a scenario where a health AI model discriminates against a specific demographic based on biased training data. What steps would you recommend to identify and mitigate this bias?

💡 Hint: Think about the complete cycle from data collection to deployment.

Challenge 2 Hard

Propose a framework for ensuring accountability in an AI system used for lending decisions. What roles should be defined, and what measures should be put in place to maintain accountability?

💡 Hint: Consider how different roles interact with the AI system.

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