Practice Case Study 2: Amazon Recruitment Tool (10.7.2) - AI Ethics - CBSE 11 AI (Artificial Intelligence)

Practice: Case Study 2: Amazon Recruitment Tool

Lesson 10.7.2AI Ethics

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10 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What did the Amazon Recruitment Tool do to resumes containing 'women's'?
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Think about how the wording on the resumes may have influenced AI's decision.
Question 2.
Name one principle that can help prevent bias in AI systems.
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This principle relates to treating all applicants equally.
3Question 3.
Which term describes the issue of AI exhibiting biases similar to historical data?
- Bias
- Transparency
- Equity
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Consider the nature of AI's learning process.
4Question 4.
True or False: Accountability in AI means the developers are responsible for the AI's decisions.
- True
- False
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Think about who should address potential issues in AI outcomes.
Question 5.
Propose a solution to redesign the Amazon recruitment tool to ensure fairness and accountability. What steps would you take?
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Consider both technical and ethical dimensions of redesigning AI tools.
Question 6.
Analyze the social impact of continuing to use biased recruitment tools, particularly pertaining to gender equality.
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Think about long-term societal changes that arise from fairness issues.

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