Practice - Educational Outcomes - 12.2.4
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
Define training data.
💡 Hint: What information is essential for AI learning?
What does bias in AI lead to?
💡 Hint: Think about fairness and representation.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is training data in AI?
💡 Hint: Think about what data is foundational for AI learning.
True or False: All AI models are completely unbiased.
💡 Hint: Consider how data representation varies.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Evaluate a case where AI failed due to biased training data. What steps should be taken to rectify this?
💡 Hint: Look into how biases can shift model outputs.
Describe how you would design an AI model that minimizes bias from the start.
💡 Hint: Consider inclusivity in datasets.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.