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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the principle of fairness ensure in AI?
💡 Hint: Think about equity in AI systems.
Question 2
Easy
What does accountability mean in the context of AI?
💡 Hint: Who takes the blame if something goes 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 focus on?
- Maximizing profits for developers
- Avoiding unjust outcomes and discrimination
- Increasing AI complexity
💡 Hint: Think about the groups that might be affected by biased AI.
Question 2
True or False: Accountability means being responsible for AI outcomes.
- True
- False
💡 Hint: Who would you ask if an AI makes a mistake?
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Evaluate a recent AI system deployment. Did it adhere to the principles of Fairness, Accountability, Transparency, and Ethics? Provide evidence to support your assessment.
💡 Hint: Analyze real-world issues or decisions made by the AI system.
Question 2
Design a framework for a new AI system that addresses potential biases while promoting fairness and accountability. What features would you include?
💡 Hint: Consider collaboration with stakeholders from various backgrounds.
Challenge and get performance evaluation