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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does bias in AI mean?
💡 Hint: Think about fairness in outcomes.
Question 2
Easy
Why is data quality important in AI?
💡 Hint: Consider how garbage data affects results.
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 critical limitation of generative AI?
- It is too slow
- It can produce biased results
- It costs too much
💡 Hint: Think about fairness or bias.
Question 2
True or False: All data used in generative AI is of high quality.
- True
- False
💡 Hint: Consider the quality of data used.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss how a recent event where AI was misused could alter public perception of technology.
💡 Hint: Look for news articles illustrating the problem.
Question 2
Evaluate the impact of bias in AI on a specific industry, such as hiring or lending.
💡 Hint: Consider real-world consequences and examples.
Challenge and get performance evaluation