Practice Considerations (2.2.4) - AI PROJECT CYCLE - CBSE 9 AI (Artificial Intelligence)

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9 questions

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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 is data relevance?
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Think about why specific data matters to the project.
Question 2.
Why is data accuracy important?
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Consider the consequences of inaccurate data.
3Question 3.
What is data relevance?
- Importance of data accuracy
- Significance of data to the problem
- Organized data structure
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Think about how data applies to specific AI projects.
4Question 4.
True or False: Ethical considerations are optional in data acquisition for AI.
- True
- False
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Remember the importance of ethics in data handling.
Question 5.
Analyze the implications of using outdated data versus current data in a predictive model.
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Consider how changes in data trends affect predictions.
Question 6.
Propose a framework for ensuring ethical data collection in an AI project.
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Think about the entire lifecycle of data use from collection to application.

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