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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in the context of machine learning?
💡 Hint: Think about discrimination in decision-making.
Question 2
Easy
Name one reason why transparency is important in AI.
💡 Hint: Consider why users might hesitate to use AI.
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 reason for ensuring transparency in AI systems?
- To enhance accuracy
- To build trust
- To reduce costs
💡 Hint: Consider why users might not trust an AI system.
Question 2
AI accountability refers to the responsibility for which of the following?
- True: For AI decision outcomes
- False: Only for data collection
💡 Hint: Think about who you would hold responsible for AI errors.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Evaluate how transparency in AI can lead to better health outcomes in patient care. Discuss both benefits and limitations.
💡 Hint: Think about how understanding decisions assists medical professionals.
Question 2
Construct a plan for implementing accountability measures in an AI system used in recruitment. What should the key components be?
💡 Hint: Consider how accountability ties to user experiences and outcomes.
Challenge and get performance evaluation