Practice Robustness And Safety (6.4) - AI Ethics, Bias, and Responsible AI

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6 questions

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3 cards from this section. Quick, good the night before a test.
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4 questions · about 3 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What does robustness in AI mean?
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Consider events where AI needs to adapt.
Question 2.
Explain why safety is important in AI.
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Think about the consequences of AI mistakes.
3Question 3.
What is the primary focus of robustness in AI?
- Performance under stress
- Ethical use of AI
- Data privacy
- User consent
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Think about how AI copes with surprise situations.
4Question 4.
True or False: Adversarial attacks aim to improve AI systems.
- True
- False
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Consider the intent behind such attacks.
Question 5.
Evaluate the effectiveness of an AI system's robustness in an emergency response scenario. What measures would you implement to ensure its effectiveness?
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Consider how the system adapts to sudden changes.
Question 6.
Design a safety protocol for an AI-driven healthcare tool. What key components would you include?
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Think about what ensures user trust.

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