Practice Accountability (3.2) - AI Ethics, Bias, and Responsible AI

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9 questions

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2 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.
Define accountability in the context of AI.
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Think about the human element in AI decision-making.
Question 2.
What is an example of a field where human oversight is vital for AI?
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Consider fields that involve critical decisions.
3Question 3.
What is accountability in AI?
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Consider the importance of tracing AI decisions back to humans.
4Question 4.
Is human oversight essential in AI?
- True
- False
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Reflect on potential consequences of AI acting without human input.
Question 5.
Discuss how lack of accountability in AI could lead to systemic discrimination in hiring practices, providing at least two real-world examples.
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Consider both academic research and documented incidents in tech news.
Question 6.
Propose a comprehensive accountability framework for an AI system designed for law enforcement. Include measures of transparency and human oversight.
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Think about how existing frameworks can be adapted to policing.

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