Practice Safety And Ethics (6.4) - Reinforcement Learning and Decision Making

Practice: Safety and Ethics

Lesson 6.4Reinforcement Learning and Decision Making

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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.
Define unintended consequences in the context of RL.
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Think about what happens when a system operates unpredictably.
Question 2.
What are ethical guidelines?
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Consider the moral implications of technology.
3Question 3.
What are unintended consequences in RL?
- Desired outcomes
- Unexpected outcomes due to system behavior
- Guaranteed results
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Think of scenarios where the result differs from the intention.
4Question 4.
True or False: Ethical guidelines are not necessary for AI systems.
- True
- False
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What happens without guidelines?
Question 5.
Propose a novel method for improving safety in RL applications. Discuss its potential advantages and disadvantages.
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Think about balancing speed and safety.
Question 6.
Identify a real-world AI system that has faced ethical concerns. Analyze the impact it had on public perception and potential changes implemented subsequently.
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Focus on industries like law enforcement or healthcare.

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