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AI Image Generators and Bias

Authored by Christine Cassidy

English

Professional Development

Used 1+ times

AI Image Generators and Bias
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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a common issue with AI image generators like MidJourney?

They often create biased images.

They are difficult to operate.

They are too expensive to use.

They cannot generate high-quality images.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What did the analysis by Leonardo Nicoletti and Dina Bass reveal about AI-generated images of different professions?

There was no noticeable bias in the images.

Higher-paying professions were equally represented by all skin tones.

Lower-income jobs were predominantly associated with lighter skin tones.

Higher-paying professions were dominated by lighter skin tones.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do generative adversarial networks (GANs) function?

They use a single model to generate images.

They rely on human input for each image.

They only work with text data.

They consist of a generator and a discriminator that compete against each other.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a representational harm caused by AI systems?

Creating images that are too realistic.

Reinforcing harmful stereotypes and biases.

Using too much computational power.

Generating images too slowly.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one proposed solution to mitigate AI biases?

Eliminating the use of AI image generators.

Ignoring the biases as they are not significant.

Using more representative data sets.

Allowing AI to self-regulate without human intervention.

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