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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of using diverse datasets in NLP?
💡 Hint: Think about perspectives.
Question 2
Easy
What does regular auditing of AI systems help identify?
💡 Hint: What can go wrong?
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 a key strategy for reducing bias in NLP?
- Using a single data source
- Using diverse datasets
- Ignoring bias
💡 Hint: What type of dataset would be most inclusive?
Question 2
Regular audits in AI systems help to identify:
- User preferences
- Technical bugs
- Biases
💡 Hint: What could go wrong in AI applications?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose changes to an NLP application that faced backlash for biased outputs. Detail your approach.
💡 Hint: What would you change in the data and monitoring methods?
Question 2
Evaluate the effectiveness of current bias mitigation strategies in an AI tool and suggest improvements.
💡 Hint: Where could the tool improve its processes?
Challenge and get performance evaluation