Practice Educational Outcomes (12.2.4) - AI-Based Activities (like Emoji Generator, Face Detection, etc.)

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9 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define training data.
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What information is essential for AI learning?
Question 2.
What does bias in AI lead to?
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Think about fairness and representation.
3Question 3.
What is training data in AI?
- Data used for evaluation
- Data used to teach the AI
- Data that is irrelevant
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Think about what data is foundational for AI learning.
4Question 4.
True or False: All AI models are completely unbiased.
- True
- False
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Consider how data representation varies.
Question 5.
Evaluate a case where AI failed due to biased training data. What steps should be taken to rectify this?
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Look into how biases can shift model outputs.
Question 6.
Describe how you would design an AI model that minimizes bias from the start.
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Consider inclusivity in datasets.

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