Practice Impact Of Bias In Ai (14.5) - Ethics and Bias in AI

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8 questions

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3 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
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is AI bias?
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Think about how fairness plays a part in AI.
Question 2.
What can biased AI lead to in society?
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Consider the impact on different groups.
3Question 3.
What is the primary consequence of bias in AI?
- Improved outcomes
- Discrimination
- Increased trust
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Consider the societal impact.
4Question 4.
True or False: Biased AI can lead to legal actions against organizations.
- True
- False
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Think about accountability.
Question 5.
Discuss the implications of AI bias in healthcare AI systems. What specific examples can you provide?
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Consider both ethical and clinical outcomes.
Question 6.
Evaluate how organizations can proactively address bias in AI. What steps must they take?
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Think about the importance of regular reviews and updates.

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