Practice Privacy Concerns (15.7.2) - Natural Language Processing (NLP)

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8 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
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data bias?
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Think about how society's views can influence data collection.
Question 2.
Name one strategy to protect user privacy in NLP.
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What keeps information confidential?
3Question 3.
What is data bias?
- A means of ensuring diversity in datasets
- The occurrence of prejudiced views in datasets
- A technique for data cleaning
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Think about how societal values affect the data used in AI.
4Question 4.
True or False: Regular audits of AI behavior can help eliminate biases.
- True
- False
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Consider how checks and balances work in general.
Question 5.
Evaluate an NLP system that failed due to data bias and discuss alternative approaches that could have prevented this failure.
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Look for examples from tech companies facing backlash for similar issues.
Question 6.
Design a privacy policy for an NLP application that processes user chats. Include key elements to maintain user trust.
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Consider what users value most in their data privacy.

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