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AI Literacy - How Bias Affect Our Lives - CommonSense.org

Authored by Stacy Bennett

Computers

7th Grade

Used 2+ times

AI Literacy - How Bias Affect Our Lives - CommonSense.org
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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main topic discussed in the image related to artificial intelligence?

The development of AI technology

How AI bias impacts our lives

The history of robots

AI in gaming

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the impacts of AI bias?

Improved accuracy of AI systems

Unfair treatment of certain groups

Faster processing speeds

Enhanced user interface design

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the learning objectives regarding AI bias as mentioned in the material?

To create AI systems without bias

To understand that AI bias can impact people in different ways

To promote the use of AI in all fields

To study the history of AI development

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should students reflect on according to the learning objectives related to AI?

The positive impacts of AI

The technological advancements in AI

The negative impacts of AI bias

The economic benefits of AI

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is AI bias?

The ability of AI to perform tasks without errors.

The tendency of AI systems to make unfair decisions based on pre-existing data.

The speed at which AI systems can process information.

The cost of developing AI technologies.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does AI bias occur?

Through the intentional programming of AI by developers.

By AI developing its own preferences over time.

Due to the diverse data used in training AI models.

When the data used to train AI models is not representative of all groups.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does "AI Bias" refer to in the context of artificial intelligence?

The preference of an AI system for one type of data over another.

The error in an AI system that occurs due to incorrect programming.

The decision by an AI tool that is wrong or problematic because it learned from training data that didn't treat all people, places, and things accurately.

The ability of an AI system to learn from its mistakes and improve over time.

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