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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 fairness in AI outputs.
Question 2
Easy
Give an example of data bias.
💡 Hint: Consider how data could influence job applications.
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 might happen if an AI is trained only on male resumes?
- It will prefer female candidates
- It will treat all candidates equally
- It may favor male candidates
💡 Hint: Focus on which group the data is most representative of.
Question 2
Data bias stems from incomplete or unbalanced datasets. True or False?
- True
- False
💡 Hint: Think about what causes unfair outputs.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider an AI system used in lending that denies loans predominantly to certain racial groups based on biased historical data. What should be done to address this?
💡 Hint: Focus on data representation and oversight.
Question 2
Imagine you are an AI developer. How would you approach creating a hiring algorithm that avoids biases? Outline your strategy.
💡 Hint: Think of multiple steps to maintain fairness.
Challenge and get performance evaluation