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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is misinformation?
💡 Hint: Think about the content and its truthfulness.
Question 2
Easy
What is data bias?
💡 Hint: Consider how data quality impacts AI.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is misinformation?
💡 Hint: Focus on the definition aspects.
Question 2
Does data bias play a role in misinformation generation?
💡 Hint: Consider how models learn from data.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Scenario: An NLP chatbot is found to disseminate biased content based on its training data. Evaluate the measures that could be taken to address this issue.
💡 Hint: Remember to consider data sources and training techniques.
Question 2
Discuss the balance between using personal data in NLP and maintaining user privacy. What ethical guidelines should be applied?
💡 Hint: Think about user trust and transparency.
Challenge and get performance evaluation