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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data bias?
💡 Hint: Think about how society's views can influence data collection.
Question 2
Easy
Name one strategy to protect user privacy in NLP.
💡 Hint: What keeps information confidential?
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 data bias?
💡 Hint: Think about how societal values affect the data used in AI.
Question 2
True or False: Regular audits of AI behavior can help eliminate biases.
💡 Hint: Consider how checks and balances work in general.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Evaluate an NLP system that failed due to data bias and discuss alternative approaches that could have prevented this failure.
💡 Hint: Look for examples from tech companies facing backlash for similar issues.
Question 2
Design a privacy policy for an NLP application that processes user chats. Include key elements to maintain user trust.
💡 Hint: Consider what users value most in their data privacy.
Challenge and get performance evaluation