Practice Tools To Detect And Address Bias (16.3.2) - Ethics and Responsible AI

Practice: Tools to Detect and Address Bias

Lesson 16.3.2Ethics and Responsible AI

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9 questions

Flashcard drill
5 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is bias in AI?
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Think about how decisions can favor one group over another.
Question 2.
What does Disparate Impact measure?
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Consider how outcomes could be less favorable for a particular group.
3Question 3.
What is the primary function of IBM's AI Fairness 360?
- To enhance AI performance
- To detect and mitigate bias
- To develop new AI algorithms
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Think about the tool's purpose.
4Question 4.
True or False: Disparate Impact is a measure of fairness.
- True
- False
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Recall how it assesses demographic outcomes.
Question 5.
Analyze a scenario where an AI tool leads to biased hiring outcomes. Using the information from the tools discussed, propose a step-by-step approach on how the development team would mitigate this bias.
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Consider the tools available for addressing bias.
Question 6.
Imagine you are tasked with developing an AI system for predictive policing. Using the metrics learned in this section, outline how you would structure your approach to ensure fairness from start to finish.
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Focus on the ethical considerations for policing AI.

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