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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does AI bias refer to?
💡 Hint: Think about how training data can influence AI decisions.
Question 2
Easy
Name one ethical issue in AI.
💡 Hint: Consider socially relevant topics.
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 a significant ethical issue related to AI?
- Job Re-Training
- Bias and Discrimination
- Increased Efficiency
💡 Hint: Consider how AI is formed and what affects its decisions.
Question 2
True or False: Transparency in AI means that users should not question how decisions are made.
- True
- False
💡 Hint: Reflect on what transparency should entail for users.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a recent news article about AI bias and discuss its implications in your local context.
💡 Hint: Look for statistics or quotes that emphasize the impact on various demographics.
Question 2
Imagine you are an AI ethicist. What policies would you propose to enhance transparency in AI decision-making processes?
💡 Hint: Think about how this transparency can be documented and communicated effectively.
Challenge and get performance evaluation