Thursday, December 15, 2022

Resources for Artists Against Unethical AI Development



Who knew that 2022 would be the year artists would be having the discussion of whether or not they would be replaced by Artificial Intelligence?  But here we are in a very normal looking dystopian future!  Rather than re-hash what other more eloquent folks who have already stated, I wanted to put together this article to gather educational resources and advocacy efforts that I hope will be helpful to the art community.  I'll try to keep it updated as and when I can.  Feel free to suggest more resources in the comments!

Image Source: Pixabay
TL;DR for the folks who don't already know.  AI image generators like Stable Diffusion, MidJourney, Dall-E, and others have trained their technology on data that has been scraped from copyrighted sources without the permission of the owners of those images, including not only artists, but even the medical records of unwitting individuals as well.  To make matter worse, this tech was irresponsibly proliferated via Open Source code before regulation was even considered for its potential for copyright abuse.

We should not promote and condone any positive uses of this tech until the unethical side of it is regulated first, no matter what its helpful potential might be.  It is too harmful to the rights of creators and the creative field, in general, until regulation occurs.  Whether ethical or not, this tech was created to replace the need for artists and that will change how art and professional industries evolve over the next few years, for better or for worse.

And now on to the resource links!


For General Education

  • The Unethical Origins of AI - A thorough and well-researched thread on the unethical elements of AI generation with a breakdown of common defenses of the tech and accompanying explanations.  Complete with links to further research. (Facebook mirror link of this thread in case Twitter goes down).

  • Why AI Models are not inspired like humans. - An article by Karla Ortiz, a respected artist in the entertainment and illustration industry who has done her homework on this tech and also links to outside experts in the field.  This article explains an important distinction between how artists and machines learn, a common defense in letting AI tech go unchecked.

  • Invasive Diffusion: How one unwilling illustrator found herself turned into an AI model - An article discussing how an artist was targeted for her popular style and a model built on her art, which was then released for Open Source use, causing direct harm to the artist's livelihood and brand recognition.  It also discusses the potential for fraud and security issues with AI's power to simulate convincing photos of anyone after training on just a handful of photos of one's face.

  • The Future of AI Art and Automation in Creative Industries (Added 2/23/2023) - Written by prolific commercial photographer, Jingna Zhang, this article discusses the current and future uses of AI in the creative industries, what trends we can expect in job losses, and more considering this comes from someone extremely active in many branches of the creative community.  Zhang is also the founder of Cara.app, an ArtStation replacement that is committed to ethical use of AI.
  • Opinion: Is the use of AI worth it? (Added 9/4/2025) - A discussion from a professional within the art and IT fields discussing the harmful effects of AI beyond the creative industry with sourced research for further reading.

Okay that was a lot so let's take a break with a meme!  Because the humor is keeping me alive right now.

I hate drawing hands too, MidJourney.

Resources for Artists to Protect Their Work

It may seem like a lot of existential doom right now.  Lord knows I've spent a good chunk of my week not sleeping much and pondering what my illustration career is going to look like in the coming years.  But there are some tools in development to help artists keep up with the quick advancement of this technology.

AI generators function off of using training sets (or datasets) which scrape images from everywhere online, including, but not limited to Google, Pinterest, DeviantART, etc.  The following links help you find your work in these training sets, with HaveIBeenTrained also allowing you to opt-out from training sets that respect this organization's wishes.  It's not guaranteed everyone will honor these tools, but it's at least progress that the major developers, like Stable Diffusion, are stepping up to honor the Opt-Out system.

  • HaveIBeenTrained - This site allows users to register for free and opt-out their images from being scraped for AI training.  It's clunky in its current state because you have to opt out images one by one, but it's better than nothing at the moment.  This site was created by Spawning, a group of artists advocating for ethical and consensual development of AI technology.  They are also currently working on Opt-In tools in addition to Opt-Out.

    You can search for your images manually or search by image upload.  The site claims to not store images used for search, which we will just have to trust is true.

  • What is DeviantArt’s new “noai” and “noimageai” meta tag and how to install it - This article discusses the advent of the NOAI meta tag which can be used to tell image scrapers to not use your site and images for training.  Including instructions for how to install it via popular website management tools like Squarespace.

  • Glaze and Nightshade (Added 9/4/205) - Glaze is a tool which adds interference within your image to make it difficult to train on, while Nightshade adds information to your images which intends to disrupt the training tools as a whole.  Both require some computational power to run the filters. Webglaze is a cloud option that is also available if your computer cannot run the app.


What Can We Do?  Advocacy Efforts


Right now, what artists need most to combat the mass proliferation of this technology without any oversight is an organized effort which can navigate the many legal challenges involved with this technology.

EDIT: 2/2/2023 - Class-Action Lawsuit, Artists vs Stability AI et al. - A recent class-action lawsuit filed on 1/13/2023 by Sarah Ander­sen, Kelly McK­er­nan, and Karla Ortiz against Stability AI, DeviantART, and MidJourney which purports that these tools are trained by using copyrighted images, which makes the creation of art via the AI's diffusion methods collages works from the training set, making its output derivative works.  Read more details at the link, as it's an excellent simplified breakdown of how the tech works as quoted directly from its own developers.

EDIT: 2/2/2023 - Getty Images vs Stability AI - Another lawsuit which sprang up a few days after the aforementioned class-action lawsuit.  Getty Images claims that proper licensing was not pursued by AI training sets utilizing their stock images.  Another suit to watch for setting a possible legal precedent.

The Concept Art Association Fundraiser (Fundraiser is closed, but their advocacy page is still up. Updated 9/4/2025) - Thankfully, there is currently a recent effort by the Concept Art Association to hire lobbyists, experts, and more to pursue litigation and advocate for ethical development and coexist with this technology.




The Class Action Lawsuit Against Github, Open AI, and Microsoft - The Verge has a good write-up on a court case currently being filed where several class action litigants are arguing for their rights to their copyrighted material being used for training because it is a violation of Open Source terms.  This case may set a precedent, while also examining the loopholes of training sets hosted and developed by non-profit organizations.

If you know of other advocacy efforts or useful links I should add to this resource list, please leave a comment!  For now, hang in there, friends.  It's rough right now, but there will always be artists and people who appreciate the effort that goes into handmade work.

PLEASE NOTE!  I am not interested in debating the facts about AI in this article, as I stand firmly on the side of the scraping of images without consent being unethical.  The main reason I am sharing this post is to gather resources to help artists.  All comments made here that start pointless debate about the merits of AI will be removed.  This isn't the space for it.

Wednesday, August 17, 2022

Review - Emily Jeffords' Making Art Work 2021



It's been a wild ride navigating the waters of COVID and my evolving career as an artist for the past 2 (going on 3) years.  2020 was a rough year for many artists who relied on convention income, including myself.  The crushing pressure of this situation made it more evident to me as an artist that I needed to get my online marketing game up!

After 2020, I desperately wanted more direction for how I could organize my scattered business and become more regimented about my online marketing practices.  Rather than go for a personalized mentorship, I opted for something I felt was more affordable for my budget, but still covered my needs for fundamental and advanced marketing info - Emily Jeffords' art marketing class, Making Art Work.

Making Art Work aims to educate artists on the fundamentals of marketing, while encouraging them to plan for their success and sustainability.  This class is self-directed with live Q&A sessions held weekly to supplement each module.

This review only covers my experience as a 2021 student, so keep that in mind for the purposes of this review, as things may change in future courses.

Disclaimer: This is not a paid review and was written without any incentives being offered to me.

The TL;DR

Emily Jeffords' Making Art Work offers an info-packed review of the basics of marketing primarily geared towards fine artists, with actionable advice, introductions to various income streams through guest experts, and suggested paths for building future marketing strategies.  This class relies on Facebook, which may cut non-FB users out unless they're willing to join up to the platform.

If you are hoping to learn more about licensing, wholesale, etc. this course only scratches the surface of these topics so you may want to seek further education from individual courses dedicated to these topics.  Aside from a few inefficient apps used for extracurricular communication, the class material presented through Kajabi was easy to follow and allows for tracking of your progress.

For more advanced entrepreneurs, this course offers a great review of the fundamentals with actionable strategies for assessing your business and best practices for planning for the future.


Things to Know:

  • Cost: $1000 (after an email coupon) + Approx. $30 for the peer group add-on
  • How Long is this Course?  12 weeks
  • Apps Utilized: Telegram, Voxer, Facebook, Zoom
  • Access to modules is not forever, but only for 2 years after sign-up.  A method to mass download all of the module worksheets was made available at the end of the course.
  • Class was previously held annually and seems to have changed to an every other year schedule

Free Preview Material: 
Emily offers a free sampling of her teaching methods via a week-long Share the Work event which is usually held shortly before Making Art Work launches, so keep an eye out for it so you can see if you like her methods!  Going through the Share the Work material convinced me to join MAW.  You can read about my experience with Share the Work here.


Who is this class for?

This class is mainly aimed at creative entrepreneurs who wish to sell their work through galleries, wholesale, merch, licensing, their own educational material, and other avenues.  While I am not primarily a Fine Artist, I still found the material relevant for assessing strategies for my own art biz, which currently focuses on independently selling my illustrative merch directly to my fans and through crowdfunding.

Emily's course very much also takes the approach that an artist should be striving for sustainability through diversification, rather than killing themselves to focus solely on the sales of paintings.  So if you're looking primarily for instruction on working directly with galleries, for example, a more in-depth course on building relationships with galleries may be more to your liking.  However, if you're seeking a breakdown of the basics and strategies for diversification and refining your marketing techniques, this class has you covered and does cover the basics of licensing, wholesale, gallery sales, etc by bringing in guest experts for each topic for short introductory segments.

A glimpse at what the Making Art Work modules were in 2021. The mix of basic & advanced marketing techniques sold me on this class.  I needed a refresher, as well as guidance for how to evolve!