Practice Fairness (3.1) - AI Ethics, Bias, and Responsible AI

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8 questions

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6 sample questions

Question 1.
Define fairness in the context of AI.
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Think about how AI decisions should treat everyone equally.
Question 2.
What is data bias?
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Consider how the data used differs across populations.
3Question 3.
What is fairness in AI?
- Equal outcomes for all
- Avoiding unjust outcomes
- All AI systems are fair
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Think about fairness in the context of social justice.
4Question 4.
True or False: Fairness only applies to the data used in AI systems.
- True
- False
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Consider the different stages of AI processes.
Question 5.
Design a set of evaluation metrics to determine fairness in a predictive policing algorithm. What risks might your metrics overlook?
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Think about all the groups affected and how metrics capture their experiences.
Question 6.
Discuss the implications of deploying an AI system that lacks fairness measures within healthcare. What might the consequences be?
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Consider the impact on treatment outcomes and overall equality.

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