Practice Ethics And Responsible Ai (16) - Ethics and Responsible AI - Data Science Advance

Practice: Ethics and Responsible AI

Lesson 16Ethics and Responsible AI

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11 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
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does Responsible AI aim to achieve?
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Think about the key principles we've learned.
Question 2.
Name one tool used to assess AI fairness.
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Think of terms mentioned in our discussions.
3Question 3.
What is the primary objective of Responsible AI?
- To reduce AI efficiency
- To ensure ethical alignment
- To maximize profits
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Focus on ethics rather than outcomes that prioritize profit.
4Question 4.
True or False: All AI systems are inherently fair.
- True
- False
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Think critically about AI's relationship with data.
Question 5.
Consider a scenario where an AI recruiting tool is drastically biased against women. What steps would you take to identify and mitigate these biases?
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Focus on auditing processes and the importance of diverse datasets.
Question 6.
Analyze the implications of employing facial recognition technologies in public spaces. What ethical considerations arise from privacy concerns, and how might regulations address these issues?
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Link privacy issues with regulatory measures to protect individuals' rights.

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