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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 the implications of unfair decision-making.
Question 2
Easy
Name two key principles in AI ethics.
💡 Hint: Consider what makes AI systems trustworthy.
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 bias in machine learning often lead to?
- Increased accuracy
- Fair outcomes
- Unjust outcomes due to systematic prejudice
💡 Hint: Consider how AI might reflect societal prejudices.
Question 2
True or False: Transparency in AI means making the internal decision-making process clear to all stakeholders.
- True
- False
💡 Hint: Think about trust in AI systems.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a scenario where a health AI model discriminates against a specific demographic based on biased training data. What steps would you recommend to identify and mitigate this bias?
💡 Hint: Think about the complete cycle from data collection to deployment.
Question 2
Propose a framework for ensuring accountability in an AI system used for lending decisions. What roles should be defined, and what measures should be put in place to maintain accountability?
💡 Hint: Consider how different roles interact with the AI system.
Challenge and get performance evaluation