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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does representation bias mean in machine learning?
💡 Hint: Think about diversity in datasets.
Question 2
Easy
Give an example of representation bias.
💡 Hint: Consider biases in real-world applications like AI systems.
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 is representation bias?
- A type of discrimination
- A type of data bias
- A type of model bias
💡 Hint: Focus on the source of the bias.
Question 2
True or False: Representation bias only affects facial recognition AI.
- True
- False
💡 Hint: Think about different contexts where AI is applied.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with designing an AI model for predicting loan approvals. Outline a detailed strategy for ensuring equitable representation in your training data.
💡 Hint: Think about the entire lifecycle, from data collection to model evaluation.
Question 2
Debate the ethical implications of deploying an AI system in criminal justice without adequate representation of racial minorities in training data.
💡 Hint: Consider societal impacts and the role of fairness in justice.
Challenge and get performance evaluation