AI Art and Adaptation

Tabs below contain the full essay, a short version for quick reference, and a sources page that is easy to extend.

One. Uploading work to the internet

As soon as you upload your work to the internet you give up control over how it is used. This is especially true on social media platforms or art sharing sites. Anyone including bots can download your work. This has been true since the start of the internet and may explain why some older artists are less upset about reuse.

Think of it like this. If you leave your artwork in the middle of Lincoln Road and walk away is it really stolen if it is gone when you return. Many people will see it as up for grabs.

You still hold copyright in your own work. If someone else claims they made it or uses it without enough transformation to qualify as fair use you can sue them after registering your copyright. Always keep your original files and documentation.

Scraping by AI systems is not copying. Machine learning does not store or reproduce images directly. The training process gave the AI a crash course in art history and contemporary art, similar to how students study and make master copies. Without style prompts AI tends toward photorealism. With style prompts it can mimic a look in the same way a human imitates after study.

Machine learning fundamentally differs from human copying. Pattern recognition systems extract mathematical relationships and statistical regularities from training data creating high dimensional representations. Generated outputs come from probability distributions rather than from retrieving and combining source files.

Two. Copyright and copying

AI does not copy art. If you watched the video by Dr Alan Warburton titled The Wizard of AI you know the basics of how the technology works.

Social media often spreads persuasive but incorrect claims about AI. Always do your own research and watch for confirmation bias. Algorithms can keep you in a loop by feeding content that reinforces your starting view and by amplifying fear anger and outrage to keep you engaged.

Fact. AI cannot copy. It can generate work in a similar style if someone types in the style of into the prompt. People have always done this by hand by tablet by tracing or with fan art. Fan art is a copyright violation unless the original creator gives written consent. Calling AI copying while making fan art is not consistent since both practices borrow from other artists.

Copyright disputes often consider whether material was behind a paywall or on a password protected site and whether the use is fair use. Remember that humans control AI and humans decide to type prompts that name another artist style.

Three. Jobs

Some people are losing creative jobs because of AI. Many of those jobs are in design not in fine art. This Animation program is for fine artists not for commercial design pipelines.

If you want to have a day job to support your art animation career, this is what I suggest: Create work that cannot be mistaken for AI. Pivot away from styles that non artists with AI tools can generate quickly. An artist who uses AI will create stronger work than a non artist using it.

Many employers in the creative field now require AI use. If they must choose between an open minded applicant who can create with or without AI and a person who refuses to use AI at all, they will likely choose the former over the latter.

Four. Technology and change

Across history new tools have displaced jobs. Portrait painters struggled with the camera. Carriage drivers resisted cars. These stories repeat.

I lived through one such shift. In my high school and college years Wikipedia and the wider internet were banned in classes. Many professors believed that everything online was false and students were accused of cheating for using it. Some even failed classes. This should sound familiar.

We adapted in time just as painters and carriage drivers did. The practical lesson is simple. We may not like change or job loss but our options remain the same. We can pivot adopt or adapt.

Instructor note. One actionable skill to practice is research outside your feed. Ask students to find two primary sources that challenge their current view and summarize what they learned.

Key points about AI art

  • Once art is online you lose control of how it is used. Treat public posting like leaving work in a public square. Copyright still belongs to you and can be defended if infringed.
  • Before making blanket statements about copyright, ai, artists, animator, animation studios, creativity, ethics, morals, etc. do some research and look at both sides of your argument. This may mean actively searching for the opposite view. If you only know one side, you are not making a choice on what you believe.
  • AI does not literally copy art. It produces new images that can follow a style when prompted by a human. ML works with probability not retrieval.
  • Fan art also borrows from existing work and often violates copyright without permission. If an artist chooses to write "in the style of.." they are doing the exact same borrowing. The human choice is what matters.
  • Most job loss is in design fields. This program centers fine artists. If you are confused about the distinction between artists who make animation and those that call themselves animation artists, look at the document in our class resources titled Artists vs Designer/Artist.
  • Employers increasingly expect animators to be open to AI. Being open minded is an advantage.
  • History shows that tools change work. People adapt by learning and by adjusting their practice.

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