Practice Educational Outcomes (12.1.4) - AI-Based Activities (like Emoji Generator, Face Detection, etc.)

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10 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is training data?
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It's what the AI learns from.
Question 2.
Why is bias in AI bad?
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Think about fairness.
3Question 3.
What is the significance of training data in AI?
- It decreases model bias
- It helps the model learn
- It guarantees success
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Think of what provides the AI with examples.
4Question 4.
True or False: AI models never need retraining.
- True
- False
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Consider updating technology.
Question 5.
Formulate and describe an experiment to test the accuracy of an AI model you've learned about.
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Focus on how you'd assess its performance.
Question 6.
Discuss the potential ethical dilemmas that arise with bias in AI. Provide real-world examples for clarity.
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Think of how real-world consequences do emerge from AI biases.

6 more questions in this section. Enroll free to practise them all.