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A.I project cycle

Total questions: 27

Worksheet time: 13mins

Name
Class
Date
1.

What is Artificial Intelligence?

a)

Code people created

b)

Robots that are smarter than us

c)

Robots that act like human being

d)

Fake intelligence

2.

What is AI used for?

a)

Healthcare

b)

Education

c)

Transportation

d)

All of the Above

3.

The term A.I is short for?

a)

Anatomy Insector

b)

Astrology Iselin

c)

Anh Intelligence

d)

Artificial Intelligence

e)

Antificial Intelligence

4.
Artificial Intelligence is the process that allows computers to learn and make decisions like humans
a)
True
b)
False
5.

What can Ai do that humans can't?

a)

Make no mistakes

b)

Sleep

c)

Think quickly

d)

Everything

e)

Do the same thing for a long time without getting tired/bored

6.

Which one of these jobs COULD NOT be taken by a robot with AI?

a)

Doctor

b)

Bank clerk

c)

Telephone sales person

d)

Shop worker

7.

Which one of these is not an area of AI?

a)

computer vision/image recognition

b)

voice recognition

c)

web design

d)

robotics

8.

When AI was created?

a)

1951

b)

1956

c)

1974

d)

1982

9.

Tiktok was invented by a company

a)

American

b)

German

c)

Chinese

d)

Japanese

10.

What is machine learning?

a)

Algorithm

b)

systems the ability to automatically learn and improve

c)

Deep Learning

d)

A.I

11.

Which are the examples of A.I. in daily life?

a)

Virtual Characters ( Hologram etc.)

b)

Siri

c)

Regular Vacuum

d)

Amazon Alexa

12.

The intelligence displayed by humans and other animals is termed?

a)

Real Intelligence

b)

Natural Intelligence

c)

Cognition

d)

Artificial Intelligence

13.

Which of these is a tool used in Artificial Intelligence?

a)

Design

b)

Neural Networks

c)

Input

d)

Art

14.

The study of computer algorithms that improve automatically through experience is termed?

a)

Ability

b)

Machine Learning

c)

Formulation

d)

Compilation

15.

Which of these does NOT use machine learning/AI?

a)

Siri/Alexa

b)

Face recognition on your phone

c)

Driveless Car

d)

Wireless Speaker

16.

Which of these is NOT an AI technology

a)

Animation

b)

Facial Recognition

c)

Robotics

d)

Image recognition

17.

What is AI used for?

a)

Healthcare

b)

Education

c)

Transportation

d)

All of the Above

18.

The term A.I is short for?

a)

Anatomy Insector

b)

Astrology Iselin

c)

Anh Intelligence

d)

Artificial Intelligence

e)

Antificial Intelligence

19.

Many people question whether an AI can make ethical decisions. What do we mean by ETHICS?

a)

The laws of particular country

b)

The rules of behavior imposed by a programmer or the AI creator

c)

A set of moral principles

d)

Human Emotions

20.

Which one of these jobs COULD NOT be taken by a robot with AI? ( at least this century)

a)

Bank Clerk

b)

Shop worker

c)

Telephone sales person

d)

Doctor

21.

It was predicted that in the future...

a)

no one would ever be able to buy robots

b)

machines could only do simple tasks

c)

robots could never think for themselves

d)

A.I. would take over the world

22.

Scientists predicted that machines would cause humans in the future to lose their...

a)

jobs

b)

lives

c)

thinking abilities

d)

free time

23.

What was regarded as a disgrace to the human race?

a)

When a robot ran faster than a dog

b)

When robots were first started to be used in factories

c)

When a computer beat a chess champion

d)

When a computer wrote a book by itself

24.

What are the part of stage 1 planning in AI project cycle

a)

Problem Scoping

b)

Data Acquisition

c)

Modeling

d)

Evaluation and deployment

e)

Data Exploration

25.

What are the part of stage 2 planning in AI project cycle

a)

Problem Scoping

b)

Data Acquisition

c)

Modeling

d)

Evaluation and deployment

e)

Data Exploration

26.

What are the part of stage 3 planning in AI project cycle

a)

Problem Scoping

b)

Data Acquisition

c)

Modeling

d)

Evaluation and deployment

e)

Data Exploration

27.

What are the part of stage 4 planning in AI project cycle

a)

Problem Scoping

b)

Data Acquisition

c)

Modeling

d)

Evaluation and deployment

e)

Data Exploration