Practice Explainable Ai (xai) (15.2.1) - Future of Artificial Intelligence

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9 questions

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3 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.
What does XAI stand for?
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Look at what topic we discussed today.
Question 2.
Why is transparency important in AI?
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Think about the trust issues we've mentioned.
3Question 3.
What is the main goal of Explainable AI?
- A) Improve AI performance
- B) Make AI decisions transparent
- C) Reduce computation costs
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Think about the importance of understanding AI actions.
4Question 4.
True or False: XAI only applies to simple AI models.
- True
- False
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Consider examples we've mentioned in class.
Question 5.
An AI model makes a decision to deny someone a loan. Discuss how XAI could be implemented in this scenario to ensure fairness.
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Consider what types of information the model uses to make its decision.
Question 6.
Compare how a decision tree differs from a neural network in terms of explainability.
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Think about the structure of these models and how they process information.

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