Practice - Data Bias
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
What is data bias?
💡 Hint: Think about fairness in AI outputs.
Give an example of data bias.
💡 Hint: Consider how data could influence job applications.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What might happen if an AI is trained only on male resumes?
💡 Hint: Focus on which group the data is most representative of.
Data bias stems from incomplete or unbalanced datasets. True or False?
💡 Hint: Think about what causes unfair outputs.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Consider an AI system used in lending that denies loans predominantly to certain racial groups based on biased historical data. What should be done to address this?
💡 Hint: Focus on data representation and oversight.
Imagine you are an AI developer. How would you approach creating a hiring algorithm that avoids biases? Outline your strategy.
💡 Hint: Think of multiple steps to maintain fairness.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.