Practice Model Training (10.6.2) - AI Ethics - CBSE 11 AI (Artificial Intelligence)

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8 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a potential consequence of using biased training data in AI?
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Think about fairness.
Question 2.
Name one way to prevent bias during model training.
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Consider how diversity affects results.
3Question 3.
What is one way to ensure fairness in AI model training?
- Use biased data
- Incorporate diverse datasets
- Ignore ethical principles
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Consider what diversity implies.
4Question 4.
True or False: Accountability in AI model training means developers are responsible for the AI's performance.
- True
- False
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Think about responsibilities.
Question 5.
Design a training model to mitigate bias in AI hiring tools. What specific methods would you implement?
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Reflect on previous discussions around ethical practices.
Question 6.
Analyze the implications of failing to test AI models for bias in real-world applications. Provide examples.
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Think about the social impact of technology.

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