Practice Deriving The Explanation (3.3.1.1.5) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Deriving the Explanation

Practice - Deriving the Explanation

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is bias in the context of AI?

💡 Hint: Think about how past data can influence present AI decisions.

Question 2 Easy

Define transparency in AI.

💡 Hint: Consider how users can understand AI actions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What kind of bias refers to prejudices embedded in historical data?

Representation Bias
Historical Bias
Algorithmic Bias

💡 Hint: Think about how past hiring practices might influence current decisions.

Question 2

True or False: Transparency is not necessary for AI systems.

True
False

💡 Hint: Consider the implications of unclear AI actions.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Provide a detailed analysis of how a lack of transparency in AI systems can lead to societal mistrust. Develop a plan to enhance transparency in a fictional AI healthcare system.

💡 Hint: Consider both technical (like XAI methods) and procedural transparency measures.

Challenge 2 Hard

Analyze the trade-offs between predictive accuracy and fairness in AI systems. Suggest ways to balance these often-conflicting goals.

💡 Hint: Reflect on the implications of focusing solely on one over the other.

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Reference links

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