Practice - Ethical Considerations
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Practice Questions
Test your understanding with targeted questions
What is bias in AI models?
💡 Hint: Think about how AI might make errors based on who or what it's trained on.
Why is data privacy important in AI?
💡 Hint: Consider what could happen if personal data is shared without consent.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is a consequence of bias in AI models?
💡 Hint: Think about how the training data influences the model's decisions.
True or False: Overfitting occurs when a model learns to generalize too well to new data.
💡 Hint: Relate this to the importance of using diverse datasets.
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Challenge Problems
Push your limits with advanced challenges
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?
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.
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Reference links
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