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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in machine learning?
💡 Hint: Think about societal influences in training data.
Question 2
Easy
Define fairness in AI systems.
💡 Hint: Relate back to how AI affects different people.
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 does bias in machine learning refer to?
- Reflecting societal norms
- Accuracy of predictions
- All of the above
💡 Hint: Consider the various influences on data.
Question 2
Is transparency important in AI systems?
- True
- False
💡 Hint: Think about the stakeholders involved.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss how you would establish accountability and transparency in an AI system used for job recruitment, considering potential biases.
💡 Hint: Think about who is affected and how trust can be fostered.
Question 2
Evaluate the trade-offs between privacy and model accuracy in healthcare AI applications.
💡 Hint: How can both aspects coexist?
Challenge and get performance evaluation