Practice Explainability - 3.1 | The Future of AI – Trends, Challenges, and Opportunities | Artificial Intelligence 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

What does explainability in AI mean?

💡 Hint: Think about transparency in AI.

Question 2

Easy

Name one reason why trust is important in AI.

💡 Hint: Consider how you use technology.

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 explainability in AI?

  • A. Trust in AI systems
  • B. Understanding AI decisions
  • C. Simple algorithms

💡 Hint: It involves transparency.

Question 2

True or False: Auditability helps ensure AI systems are compliant with regulations.

  • True
  • False

💡 Hint: Think about accountability.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an AI system for loan approvals and explain how you would ensure its decisions are explainable.

💡 Hint: Consider what information users need to trust the decisions.

Question 2

Evaluate the implications of a lack of explainability in a self-driving car technology scenario.

💡 Hint: Think about accidents and liability issues.

Challenge and get performance evaluation