Practice Analyze Potential Harms And Risks (4.1.3) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Analyze Potential Harms and Risks

Practice - Analyze Potential Harms and Risks

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is historical bias in machine learning?

💡 Hint: Think about how past discrimination can affect data.

Question 2 Easy

Name a mitigation strategy for bias.

💡 Hint: Consider how to balance out groups in a dataset.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is representation bias?

Bias stemming from poor data collection
Bias due to algorithmic design
Bias from cultural stereotypes

💡 Hint: Think about the data used for training.

Question 2

True or False: The only source of bias in AI comes from historical data.

True
False

💡 Hint: Consider the entire AI development pipeline.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a framework for analyzing the ethical implications of deploying a new AI system in healthcare. Include at least five components.

💡 Hint: Think about how each component interacts together.

Challenge 2 Hard

Critically evaluate a situation where an AI system inadvertently perpetuates e-commerce segregation by recommending products based on biased reviews. Propose at least three measures to prevent this.

💡 Hint: Focus on both technical adjustments and policy changes.

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Reference links

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