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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is fairness in AI?
💡 Hint: Think about sensitive characteristics like gender and race.
Question 2
Easy
Why is accountability important in AI?
💡 Hint: Consider what happens when AI makes a mistake.
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 the main goal of fairness in AI?
- To eliminate all AI systems
- To prevent discrimination
- To enhance performance
💡 Hint: Think about how fairness relates to sensitive traits.
Question 2
True or False: Accountability in AI means nobody is responsible for AI’s decisions.
- True
- False
💡 Hint: Consider who should be held responsible when something goes wrong.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a hypothetical AI system for hiring that minimizes bias. What steps will you implement?
💡 Hint: Consider how real recruitment processes could be improved.
Question 2
Analyze a recent incident or study showing AI bias. Discuss potential corrective measures.
💡 Hint: Use real cases to frame their analysis.
Challenge and get performance evaluation