Practice Chapter Summary (7) - AI Ethics, Bias, and Responsible AI - Artificial Intelligence Advance

Practice: Chapter Summary

Lesson 7AI Ethics, Bias, and Responsible AI

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10 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does the acronym FATE stand for?
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Think about the principles we discussed related to AI.
Question 2.
Name one example of bias in data.
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Consider what happens if we don't include diverse datasets.
3Question 3.
What does FATE stand for in AI ethics?
- Fairness
- Accountability
- Transparency
- Ethics
- Freedom
- Accuracy
- Transparency
- Ethics
- Fairness
- Accountability
- Transparency
- Efficiency
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Recall what we covered regarding ethical AI principles.
4Question 4.
True or False: AI can be deployed without any ethical consideration.
- True
- False
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Think about what can happen if ethics are ignored in AI.
Question 5.
Critique a real-world AI deployment that faced backlash due to bias and propose how FATE principles could have mitigated the issue.
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Consider an event and analyze it through the lens of fairness and accountability.
Question 6.
Design a hypothetical AI system that incorporates each aspect of the FATE principles, detailing features that address bias.
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Think of practical ways these principles can be integrated into AI design.

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