Practice Bias And Discrimination (15.3.3) - Trends in Computing and Ethical Issues

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8 questions

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6 sample questions

Question 1.
Define bias in AI.
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Think about how bias can be seen in everyday life.
Question 2.
What does discrimination mean?
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Consider examples of unfair treatment you might have seen.
3Question 3.
What is a key concern with biased AI algorithms?
- They are always accurate
- They can perpetuate discrimination
- They require no data
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Think about the impact of data quality.
4Question 4.
True or False: Lack of diversity in tech development teams can lead to biased AI.
- True
- False
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Consider how different perspectives can alter outcomes.
Question 5.
Discuss the implications of AI bias in law enforcement. What are some strategies that can address this?
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Think about responsible AI usage.
Question 6.
Evaluate and propose a framework for assessing AI algorithms for bias. What metrics would you include?
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Consider how evaluations are conducted in other fields.

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