Practice Inherent Challenges (2.1.3) - Advanced ML Topics & Ethical Considerations (Weeks 14)
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Inherent Challenges

Practice - Inherent Challenges - 2.1.3

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does bias in machine learning refer to?

💡 Hint: Consider how a model can treat different groups differently.

Question 2 Easy

What is accountability in AI?

💡 Hint: Think about who is responsible when an AI model makes a mistake.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is bias in machine learning?

A systematic error favoring one group
A method of collecting data
A type of algorithm

💡 Hint: Think about how models can perpetuate existing societal inequalities.

Question 2

Accountability in AI means...

True
False

💡 Hint: Consider who should be responsible for AI failures.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Suppose an AI system for loan approval shows a significant bias against a specific demographic group. Draft a plan to identify, mitigate, and monitor this bias.

💡 Hint: Address both pre- and post-deployment phases in your plan.

Challenge 2 Hard

Consider a situation where an AI model used in criminal justice innocently embeds racial bias because of its training data. Propose ethical guidelines and safeguards to prevent such issues.

💡 Hint: Think about balancing technical and ethical safeguards.

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