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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 how AI should treat all people equally.
Question 2
Easy
What does accountability in AI refer to?
💡 Hint: Who is responsible when AI does something wrong?
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 does fairness in AI primarily aim to prevent?
- Bias based on attributes
- Increased efficiency
- Data privacy breaches
💡 Hint: Consider the values we want to uphold in society.
Question 2
Accountability in AI development means:
- True
- False
💡 Hint: Who needs to own the decisions made by AI?
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose a framework for ensuring fairness in an AI hiring tool. What key elements should be included?
💡 Hint: Think about inputs, process, and outcomes.
Question 2
Evaluate an AI system's impact on a specific job sector. Identify potential biases and suggest improvements.
💡 Hint: Consider both the data and the real-world consequences.
Challenge and get performance evaluation