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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data bias?
💡 Hint: Think about how data might not represent everyone equally.
Question 2
Easy
Give an example of underrepresentation bias.
💡 Hint: Consider groups that might be missing from datasets.
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 data bias?
- Skewed data
- All data
- Data with no bias
💡 Hint: Focus on the meaning of bias.
Question 2
True or False: Labeling bias can occur if annotators have different opinions.
- True
- False
💡 Hint: Think about how judgment can vary.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Identify a modern AI application that showcases the impact of data bias. Discuss how data bias can be mitigated in such applications.
💡 Hint: Investigate real-life instances of AI applications and the criticisms they have faced.
Question 2
Design a framework for evaluating bias in a new AI project. What factors would you consider?
💡 Hint: Think about different stakeholder perspectives and the ethical implications of AI.
Challenge and get performance evaluation