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Artificial Intelligence (AI) - Quiz

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What is the primary goal of Artificial Intelligence?

a)

To automate all manual tasks

b)

To mimic human intelligence

c)

To replace all human workers

d)

To create hardware for faster computing

2.

Artificial Intelligence is about_____.

a)
  1. Playing a game on Computer

b)
  1. Making a machine Intelligent

c)
  1. Programming on Machine with your Own Intelligence

d)
  1. Putting your intelligence in Machine

3.

Who is known as the Father of AI"?

a)
  1. Fisher AdaAlan Turing

b)
  1. Alan Turing

c)
  1. Allen Newell

d)
  1. John McCarthy

4.

What is the primary goal of machine learning?

a)

To enable computers to learn from data and make predictions or decisions.

b)

To store data without processing it.

c)

To create static algorithms that do not adapt.

d)

To replace human intelligence entirely.

5.

What is natural language processing (NLP)?

a)

A method for teaching computers to write poetry.

b)

A system for managing databases.

c)

A branch of artificial intelligence that enables computers to understand, interpret, and respond to human language.

d)

A technique for improving computer graphics.

6.

Which One of the Following is not an Objective of AI?

a)
  1. Thinking humanly

b)
  1. Adapting to the environment and situations

c)
  1. To rule over humans

d)
  1. Real-life problem-solving

7.

Give an example of a common application of NLP.

a)

Chatbots

b)

Data visualization platforms

c)

Image processing tools

d)

Voice recognition software

8.

What are some ethical concerns related to AI?

a)

Efficiency, transparency, user satisfaction, innovation

b)

Bias, privacy, job displacement, accountability, misuse.

c)

Data storage, algorithm complexity, user engagement, scalability

d)

Cost reduction, system reliability, market competition, performance metrics

9.

What is computer vision?

a)

Computer vision is a type of computer programming language.

b)

Computer vision is solely focused on image compression techniques.

c)

Computer vision is a field of AI that enables computers to interpret and understand visual information.

d)

Computer vision is a method for enhancing audio signals.

10.

What is the difference between narrow AI and general AI?

a)

Narrow AI specializes in specific tasks, while General AI can perform any intellectual task that a human can.

b)

Narrow AI and General AI are the same and can be used interchangeably.

c)

Narrow AI can think and reason like a human, while General AI cannot.

d)

General AI is limited to specific tasks, while Narrow AI can perform any task.

11.

Name a popular application of computer vision.

a)

Object detection

b)

Image compression

c)

Video streaming

d)

Facial recognition

12.

How is AI transforming healthcare?

a)

AI is making healthcare more expensive for patients.

b)

AI is solely focused on administrative tasks in hospitals.

c)

AI is improving diagnostics, personalizing treatments, automating tasks, and enhancing patient monitoring in healthcare.

d)

AI is reducing the need for healthcare professionals.

13.

What are some benefits of AI in medical diagnosis?

a)

Increased patient wait times

b)

Reduced access to medical records

c)

Improved accuracy, faster diagnosis, enhanced data analysis, and support for clinical decision-making.

d)

Higher costs for diagnosis

14.

How can AI be used in education?

a)

AI has no impact on student engagement.

b)

AI can personalize learning, provide tutoring, automate tasks, analyze data, and enhance engagement.

c)

AI can replace teachers entirely.

d)

AI can only be used for grading exams.

15.

What is personalized learning in the context of AI?

a)

Personalized learning in AI is the customization of educational experiences using AI to meet individual learner needs.

b)

Personalized learning in AI focuses solely on group learning experiences.

c)

Personalized learning in AI eliminates the need for teachers entirely.

d)

Personalized learning in AI is a one-size-fits-all approach to education.