Practice - Case Studies and Examples
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 type of bias arises when AI is trained on unbalanced datasets?
💡 Hint: Think about how the training data affects outcomes.
What does societal bias reflect?
💡 Hint: Consider how biases from people can influence algorithms.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What consequence did Amazon's recruitment AI have?
💡 Hint: Consider who the AI was trained on.
True or False: The COMPAS algorithm predicted higher risk for Black defendants.
💡 Hint: Think about the reports on its accuracy.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Analyze how the biases found in Amazon's recruitment AI tool can affect a company's workforce and public perception.
💡 Hint: Think about diversity and corporate responsibility.
Evaluate the ethical implications of deploying facial recognition technologies in public spaces given their known biases.
💡 Hint: Consider both societal and ethical aspects of technology usage.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.