Practice Case Studies And Examples (14.8) - Ethics and Bias in AI

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9 questions

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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 type of bias arises when AI is trained on unbalanced datasets?
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Think about how the training data affects outcomes.
Question 2.
What does societal bias reflect?
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Consider how biases from people can influence algorithms.
3Question 3.
What consequence did Amazon's recruitment AI have?
- It hired more women
- It showed bias against women
- It was completely bias-free
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Consider who the AI was trained on.
4Question 4.
True or False: The COMPAS algorithm predicted higher risk for Black defendants.
- True
- False
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Think about the reports on its accuracy.
Question 5.
Analyze how the biases found in Amazon's recruitment AI tool can affect a company's workforce and public perception.
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Think about diversity and corporate responsibility.
Question 6.
Evaluate the ethical implications of deploying facial recognition technologies in public spaces given their known biases.
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Consider both societal and ethical aspects of technology usage.

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