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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of diverse and inclusive datasets?
💡 Hint: Think about why it’s important not to favor one group.
Question 2
Easy
What does regular auditing of AI systems help achieve?
💡 Hint: Consider how continuous evaluation contributes to fairness.
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 primary goal of diverse datasets in AI?
- To ensure algorithms run faster
- To represent various demographics
- To reduce processing time
💡 Hint: Think about why having a mix of backgrounds is important.
Question 2
True or False: Regular audits are unnecessary if an AI system has been properly designed.
- True
- False
💡 Hint: Consider how issues might arise even after a system is built.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze how an AI model that isn't regularly audited could impact societal trust in AI technologies.
💡 Hint: Consider the real-world implications of unchecked biases.
Question 2
Design a framework for ethical AI development using the principles discussed in this section.
💡 Hint: Think about how all these elements can work together in a responsible AI system.
Challenge and get performance evaluation