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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data bias?
💡 Hint: Think about how data sets might not include all demographic groups.
Question 2
Easy
Give an example of labeling bias.
💡 Hint: Consider how people might label images differently based on race.
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 an example of data bias?
- An algorithm making decisions based on complete and diverse data
- An algorithm failing to recognize older adults
- None of the above
💡 Hint: Think about how the AI's limitations relate to the input data.
Question 2
True or False: Labeling bias can influence the outcomes of AI models.
- True
- False
💡 Hint: Consider how subjective opinions might change data interpretation.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Discuss the long-term implications of deploying an AI tool that reflects existing social biases in job recruitment.
💡 Hint: Consider the social dynamics involved in hiring and how that reflects larger societal structures.
Question 2
Propose a strategy for mitigating data bias in healthcare AI systems.
💡 Hint: Think about how one might collect data differently to be more inclusive.
Challenge and get performance evaluation