Practice Accuracy And Reliability (14.1) - Limitations of Using Generative AI

Practice: Accuracy and Reliability

Lesson 14.1Limitations of Using Generative AI

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8 questions

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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
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6 sample questions

Question 1.
What is meant by AI hallucination?
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Think about situations where AI could make factual errors.
Question 2.
Explain why source validation is important.
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Consider how wrong information can affect schoolwork.
3Question 3.
What does AI hallucination refer to?
- Correct information generated by AI
- Misleading information generated by AI
- Approved data
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Think about the consequences of incorrect information.
4Question 4.
True or False: Generative AI always verifies the sources of the data it generates.
- True
- False
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Consider if computers can fact-check like humans.
Question 5.
Imagine you wrote a research paper using information sourced from an AI. Later, you find out one claim was false, leading to a poor grade. Analyze the importance of information verification in this scenario.
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Think about the potential ramifications for academic credibility.
Question 6.
Design a practical exercise in a classroom where students will work with generative AI. Explain how you will ensure the accuracy of the information generated.
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Consider how you will guide them to trustworthy resources.

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