Practice Ethics And Bias In Ai (12) - Ethics and Bias in AI

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10 questions

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2 cards from this section. Quick, good the night before a test.
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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is fairness in AI?
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Think about how AI should treat all people equally.
Question 2.
What does accountability in AI refer to?
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Who is responsible when AI does something wrong?
3Question 3.
What does fairness in AI primarily aim to prevent?
- Bias based on attributes
- Increased efficiency
- Data privacy breaches
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Consider the values we want to uphold in society.
4Question 4.
Accountability in AI development means:
- True
- False
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Who needs to own the decisions made by AI?
Question 5.
Propose a framework for ensuring fairness in an AI hiring tool. What key elements should be included?
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Think about inputs, process, and outcomes.
Question 6.
Evaluate an AI system's impact on a specific job sector. Identify potential biases and suggest improvements.
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Consider both the data and the real-world consequences.

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