Practice Ethical Considerations In Nlp (11.9) - Natural Language Processing (NLP)

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8 questions

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4 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 'Bias in Data' in the context of NLP?
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Think about fairness in AI.
Question 2.
How can misinformation be spread through NLP?
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Consider content that appears in news articles.
3Question 3.
What is bias in NLP?
- A tendency to prefer certain outcomes unreasonably.
- The ability to generate truthful information.
- Neutral handling of all data.
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Think about fairness in AI.
4Question 4.
True or False: NLP tools cannot spread misinformation.
- True
- False
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Consider their generation capabilities.
Question 5.
Analyze a fictional scenario where a company uses biased NLP models. Discuss the potential societal implications and suggest improvements to prevent those issues.
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Consider how different demographics might be affected.
Question 6.
A news organization has faced criticism for publishing AI-generated articles containing misinformation. Propose a strategy to rebuild trust with their audience.
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Think of ways to reassure the audience about the accuracy of information.

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