Understanding Artificial Intelligence by Teacher Kay

Understanding Artificial Intelligence by Teacher Kay

Professional Development

20 Qs

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Understanding Artificial Intelligence by Teacher Kay

Understanding Artificial Intelligence by Teacher Kay

Assessment

Quiz

Computers

Professional Development

Practice Problem

Easy

Created by

TEACHER KAY

Used 1+ times

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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does AI stand for?

Artificial Intelligence

Advanced Interface

Artificial Interaction

Automated Integration

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of artificial intelligence?

To develop systems that can replace human workers entirely.

To create machines that can only perform simple calculations.

To enhance human intelligence through direct brain interfaces.

To create systems that can perform tasks requiring human intelligence.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Can you name a common application of AI in daily life?

Social media algorithms

Online shopping recommendations

Weather forecasting

Virtual assistants

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is machine learning?

Machine learning is a method of data analysis that automates analytical model building.

A hardware component for data storage.

A type of database management system.

A programming language for web development.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does machine learning differ from traditional programming?

Machine learning requires no data to function.

Traditional programming adapts to new data automatically.

Machine learning is only used for image recognition.

Machine learning learns from data, whereas traditional programming relies on predefined rules.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an example of AI used in smartphones?

Camera filters

Voice assistants like Siri or Google Assistant

Mobile games

Photo editing apps

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to consider ethics in AI development?

Ethics are irrelevant in AI development.

It is important to ensure fairness, accountability, and transparency in AI systems.

Transparency is not necessary for AI algorithms.

AI systems should prioritize profit over fairness.

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