Practice Ethics (3.4) - AI Ethics, Bias, and Responsible AI - Artificial Intelligence Advance

Practice: Ethics

Lesson 3.4AI Ethics, Bias, and Responsible AI

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10 questions

Flashcard drill
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 guiding AI development.
Question 2.
What is data bias?
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Consider where data can come from.
3Question 3.
What does the acronym FATE represent in AI ethics?
- Fun
- Accountability
- Transparency
- Ethics
- Fairness
- Accountability
- Transparency
- Ethics
- Functional
- Able
- Transparent
- Ethical
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Think about what ethical AI should embody.
4Question 4.
True or False: All AI systems are inherently unbiased.
- True
- False
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Consider the sources of bias in AI.
Question 5.
Analyze a real-world incident where biased AI decisions led to significant social issues. Discuss what went wrong and propose measures to prevent such biases in the future.
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Look into cases where societal trust in AI was damaged.
Question 6.
Devise a framework for your organization to ensure fairness in AI. Include aspects such as data collection, algorithm transparency, and stakeholder involvement.
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Consider integrating community feedback into your AI processes.

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