Practice Data Bias (14.3.a) - Ethics and Bias in AI - CBSE 11 AI (Artificial Intelligence)

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6 sample questions

Question 1.
What is data bias?
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Think about fairness in AI outputs.
Question 2.
Give an example of data bias.
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Consider how data could influence job applications.
3Question 3.
What might happen if an AI is trained only on male resumes?
- It will prefer female candidates
- It will treat all candidates equally
- It may favor male candidates
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Focus on which group the data is most representative of.
4Question 4.
Data bias stems from incomplete or unbalanced datasets. True or False?
- True
- False
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Think about what causes unfair outputs.
Question 5.
Consider an AI system used in lending that denies loans predominantly to certain racial groups based on biased historical data. What should be done to address this?
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Focus on data representation and oversight.
Question 6.
Imagine you are an AI developer. How would you approach creating a hiring algorithm that avoids biases? Outline your strategy.
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Think of multiple steps to maintain fairness.

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