Practice Case Studies and Examples - 14.8 | 14. Ethics and Bias in AI | CBSE Class 11th AI (Artificial Intelligence)
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What type of bias arises when AI is trained on unbalanced datasets?

💡 Hint: Think about how the training data affects outcomes.

Question 2

Easy

What does societal bias reflect?

💡 Hint: Consider how biases from people can influence algorithms.

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 consequence did Amazon's recruitment AI have?

  • It hired more women
  • It showed bias against women
  • It was completely bias-free

💡 Hint: Consider who the AI was trained on.

Question 2

True or False: The COMPAS algorithm predicted higher risk for Black defendants.

  • True
  • False

💡 Hint: Think about the reports on its accuracy.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation