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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is historical bias in AI?
💡 Hint: Think about past societal inequalities.
Question 2
Easy
What does sampling bias mean?
💡 Hint: Consider how sampling can affect results.
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 historical bias?
- Bias that occurs in real-time data
- Bias derived from systemic inequalities in historical data
- Error from human labeling
💡 Hint: Consider how past practices affect current data.
Question 2
Sampling bias occurs when:
- True
- False
💡 Hint: Think about whether a sample can show the whole picture.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an AI system to provide equitable loan approvals. Discuss potential biases that could arise in data collection, model training, and outcomes.
💡 Hint: Consider each type of bias and how they could affect loan decisions.
Question 2
Critically analyze a real-world AI application (like facial recognition). Identify any bias issues and propose measures to mitigate these biases.
💡 Hint: Look at current controversies surrounding the application for insights.
Challenge and get performance evaluation