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TABLE OF CONTENTS

History, Development, Common Tools, Future

The Development of AI Imaging Technology

Creativity, “Real” Art Effort, Biases

Controversy With AI Tools

You can describe the topic of the section here

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TIMELINE

1960’s

1970’s-2000’s

Development of AARON by Harold Cohen

2014

Now

Switch over to diffusion models, rapid development

First RNG computer images, consisting of squares based on random matrices

Development of Generative Adversarial Networks (GAN’s), use in AI Art

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Common AI Tools

Midjourney	Popular, great with detail, faces. No website, through a discord server. User input helps with accuracy and detail. First 25 prompts free, subscription $10-$600.
Craiyon	Formerly DALL-E mini. Open source, completely free and accessible. Easy to use. Struggles with faces and not very detailed.
DALL-E/DALL-E 2	Parent of Craiyon. Better at details and faces. Recently open to the public. 50 free credits by signing up, then 15 a month. 115 credits for $15. Recently added outpainting.
Dream by Wombo	Asks the user for a prompt and a style for the image (can pick no style). Can also upload a picture for the AI to use.
Stable Diffusion	Open source and very accessible. Has no filters for violent, racist, or pornographic content (most of the other programs do).
Artbreeder	AI art tool and social media site. Has collaging and splicing.

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Future of AI art

Outpainting
More unique AI-human interactions
Toying with the amount of human interference
Other possible options

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Controversy and AI

Creativity, “Real” Art Effort, Biases

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Does AI hinder or spur creativity?

More time for creative ideas
Simply reduces time it takes to express creativity
Makes creativity more accessible

Less time commitment
Less artistic skill needed
May discourage people from pursuing art/learning how to draw/paint

Spur

Hinder

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The Lovelace 2.0 Test

Measuring Creativity in AI

No AI has passed the test
AI cannot be creative in of itself

AI can only be defined as creative if it can generate its own original ideas
Computational creativity - AI behavior “that unbiased observers would deem to be creative”

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—Chia 2022

Designers can use AI to reduce the time “boring" tasks take. They have more time and ability to “focus on crafting new scenes and stories and … go back to the fun of being able to be an artist.”

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Using AI to spur Creativity

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Are AI Art and Artists “Real”?

“Expression or application of human creative skill and imagination.”

“A person skilled at a particular task or occupation.”

AI needs skill, nontraditional compared to typical art art

Art

Artist

Skill

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Biases in AI

The developers may have their own biases that leak into the coe.

Training on biased and skewed archives skews art towards white, European men.

Developers

Training Data

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Ownership and Copyright

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Can AI Art be Copyrighted?

Zarya Of The Dawn

Works

Works must be “created by human hands”

Partially AI-generated work. Given copyright, then rescinded.

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Most Ethical Approach

Give credit to all aspects of the creative process. However, is that even possible?

Training data, Developers, AI itself.

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Conclusion

AI-generated imaging technology continues to snowball and improve at a rapid pace
As the uses and benefits of AI grow ever more, society as a whole is struggling to keep up,
Ethical and controversial issues arise
Countless debates in copyright issues, biases, arguments regarding creativity, what defines “real” art and artists
Thoughtful conclusions have been reached for many of them,
Some solutions remain obscure
The future of AI imaging technology seems near-infinite.
However, we must exercise caution and attempt to resolve the controversies surrounding AI artwork thoroughly.