Practice Key Ethical Principles In Ai (16.2) - Ethics and Responsible AI

Practice: Key Ethical Principles in AI

Lesson 16.2Ethics and Responsible AI

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10 questions

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

Question 1.
Define fairness in AI.
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Think about how AI impacts different social groups.
Question 2.
What is transparency in AI?
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Consider how explanations of AI decisions can help users.
3Question 3.
What does fairness in AI primarily involve?
- Ensuring data security
- Equitable treatment
- Transparency of models
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Think about what it means to treat everyone equally.
4Question 4.
True or False: Accountability in AI is only the developer's responsibility.
- True
- False
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Consider whether multiple parties might be involved in AI decisions.
Question 5.
Consider an AI system that analyzes resumes for job candidates. Propose a strategy to ensure fairness and mitigate bias in its algorithms.
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Think about how bias might present with academic and experiential data.
Question 6.
Imagine an autonomous vehicle equipped with AI. Discuss how to implement accountability for its actions in the event of an accident.
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Consider who would be directly impacted by the vehicle's decisions.

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