Practice Privacy - 16.2.3 | 16. Ethics and Responsible AI | Data Science Advance
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

Define data minimization.

💡 Hint: Think about the concept 'less is more'.

Question 2

Easy

What does anonymization accomplish?

💡 Hint: Consider what personal data is removed for privacy.

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 the primary goal of data minimization?

  • To collect as much data as possible
  • To collect only necessary data
  • To anonymize data

💡 Hint: Reflect on the phrase 'less is more'.

Question 2

True or False: Anonymization guarantees that data cannot be potentially re-identified.

  • True
  • False

💡 Hint: Consider the limits of how effective anonymization can be.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss a recent event where privacy was compromised. Identify which practices were violated and suggest alternative approaches that could have been used.

💡 Hint: Consider well-publicized cases where data breaches occurred.

Question 2

Create a policy document outlining how an AI company should implement differential privacy in their applications. What methods would you recommend and why?

💡 Hint: Think about the balance between data utility and privacy.

Challenge and get performance evaluation