Practice - Educational Outcomes - 12.1.4
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Practice Questions
Test your understanding with targeted questions
What is training data?
💡 Hint: It's what the AI learns from.
Why is bias in AI bad?
💡 Hint: Think about fairness.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the significance of training data in AI?
💡 Hint: Think of what provides the AI with examples.
True or False: AI models never need retraining.
💡 Hint: Consider updating technology.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Formulate and describe an experiment to test the accuracy of an AI model you've learned about.
💡 Hint: Focus on how you'd assess its performance.
Discuss the potential ethical dilemmas that arise with bias in AI. Provide real-world examples for clarity.
💡 Hint: Think of how real-world consequences do emerge from AI biases.
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