Practice Legislation and Standardization of AI Practices - 32.11.4 | 32, AI-Driven Decision-Making in Civil Engineering Projects | Robotics and Automation - Vol 3
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.

32.11.4 - Legislation and Standardization of AI Practices

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.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is legislation in the context of AI practices?

💡 Hint: Think about laws that guide technology use.

Question 2

Easy

Define standardization.

💡 Hint: How do we ensure different systems work together?

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 main purpose of legislation in AI?

  • To ensure safety and ethics
  • To promote competition
  • To avoid standardization

💡 Hint: Think about the potential risks of AI applications.

Question 2

True or False: Standardization in AI practices helps improve effectiveness across projects.

  • True
  • False

💡 Hint: Consider how systems interact.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Outline a potential AI legislation framework that addresses at least three key areas: safety, data privacy, and accountability.

💡 Hint: Consider how legislation can protect both individuals and the public.

Question 2

Critically analyze the risks associated with a lack of standardization in AI applications in civil engineering projects.

💡 Hint: Think about what happens when projects have conflicting requirements.

Challenge and get performance evaluation