Practice Bias And Discrimination (17.3.2) - Ethical Considerations of Using Generative AI

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8 questions

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6 sample questions

Question 1.
Define bias in your own words.
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Think about how bias can affect decisions.
Question 2.
What is generative AI?
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Consider what kinds of things AI can produce.
3Question 3.
What does bias in AI often stem from?
- A. Human Preferences
- B. Data Quality
- C. Algorithm Design
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Consider where AI gets its learning materials.
4Question 4.
True or False: All AI systems are unbiased.
- True
- False
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Think about examples of biased AI outputs.
Question 5.
Critique an AI product that has faced backlash for bias. What were the criticisms, and how could the product be designed better?
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Think about public feedback on technology.
Question 6.
Create a proposal for a new AI tool aimed at recruiting that incorporates fairness. What features would ensure unbiased results?
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Imagine a recruiting process free of discriminative factors.

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