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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data bias in NLP?
💡 Hint: Think about how training data influences model behavior.
Question 2
Easy
Give an example of a privacy concern in NLP.
💡 Hint: Consider what kind of personal data is input into these systems.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is data bias?
- The unbiased processing of information
- Biases present in training data affecting model behavior
- An ethical framework for AI
💡 Hint: Think about how data influences outcomes.
Question 2
True or False: Responsible NLP uses only single demographic datasets to avoid bias.
- True
- False
💡 Hint: Consider how representation in data affects model fairness.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze how using only English language data might create biases when developing an NLP tool for a global audience. What strategies would you employ to create a more inclusive tool?
💡 Hint: Consider the cultural dimensions and needs of a global audience.
Question 2
Propose an ethical framework for AI developers to follow when creating NLP technologies. What key elements should be included?
💡 Hint: Think about ethical principles that enhance trust and accountability.
Challenge and get performance evaluation