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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a diverse dataset mean?
💡 Hint: Think about representation.
Question 2
Easy
Why is inclusivity important in datasets?
💡 Hint: Consider who gets represented.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a diverse dataset?
💡 Hint: Think about what diversity involves.
Question 2
True or False: Inclusive datasets only consider one demographic.
💡 Hint: Think about the meaning of inclusivity.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Evaluate a case where a company's AI model failed due to lack of diversity in the dataset. Discuss the consequences and suggest improvements.
💡 Hint: Consider past examples discussed in class.
Question 2
Design a plan for a new AI application that requires input from diverse communities. Outline the steps you would take to ensure data inclusivity.
💡 Hint: Think about collaboration and community needs.
Challenge and get performance evaluation