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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI models?
💡 Hint: Think about how AI might make errors based on who or what it's trained on.
Question 2
Easy
Why is data privacy important in AI?
💡 Hint: Consider what could happen if personal data is shared without consent.
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 consequence of bias in AI models?
- Improved accuracy
- Misclassification
- Increased privacy
💡 Hint: Think about how the training data influences the model's decisions.
Question 2
True or False: Overfitting occurs when a model learns to generalize too well to new data.
- True
- False
💡 Hint: Relate this to the importance of using diverse datasets.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have an AI that performs wonderfully in trials but fails in real-world tests. Identify the possible ethical issue and solutions.
💡 Hint: What happens when a model learns too much from its training data?
Question 2
Design a protocol for handling personal images in an AI project to ensure privacy and ethical standards.
💡 Hint: Think about what measures will build trust with users.
Challenge and get performance evaluation