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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define bias in AI models.
💡 Hint: Think about how data influences AI outcomes.
Question 2
Easy
What is data privacy?
💡 Hint: Consider what it means to keep information safe.
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 bias in AI?
- A systematic error in predictions
- A measure of performance
- A type of data
💡 Hint: Consider how training data impacts fairness.
Question 2
True or False: Overfitting affects an AI model's performance on training data positively.
- True
- False
💡 Hint: Think about the concept of training vs. new data.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a plan for an ethical AI project that incorporates diverse datasets. Outline the steps you would take to ensure fairness and privacy.
💡 Hint: Think about varying sources and diverse perspectives.
Question 2
Design a small public awareness campaign on the dangers of overfitting in AI, targeting a lay audience. What would your key messages be?
💡 Hint: Consider real-world implications to make it relatable.
Challenge and get performance evaluation