Last week I wrote about Stephen Thaler’s quixotic and determined approach to obtain copyright registration in the US for his AI generated artwork, “A Recent Entrance to Paradise”, created (he claims) exclusively by his AI “machine”, the so-called Creativity Machine. So far, despite repeated efforts, he has drilled a dry hole. An alternative approach to claiming copyright for an AI-generated work is by asserting that the AI used to produce it was simply a technological assist. The essence of the work was produced through human creativity, using AI only as a tool, and therefore the work should be eligible for copyright protection, or so the argument goes. Unlike the example of Kristina Kashtanova, discussed in last week’s blog, under this theory the entire work is protectable because it was human created, with AI playing only a facilitating or assistive role. This line of attack has most recently been pushed by the creator of the work “Théâtre D’Opéra Spatial”, Jason B. Allen.
Allen made headlines a couple of years back (September 2022) when he entered Théâtre into the Colorado State Fair’s annual art competition in the category of “digital art/digitally manipulated photography.” He labelled the piece as having been created by him, “via Midjourney”, the popular generative AI art algorithm that had recently been released. He won first prize, incurring the opprobrium of many artists who accused him of crashing a contest for human creators. Writing just a month later, in October of 2022, I posted my own AI produced artwork, based on the style of Monet (whose works are in the public domain) in this blog post, (AI and Computer-Generated Art: Its Impact on Artists and Copyright). My effort was substantially less artistic than Allen’s but was an original work of sorts, created with the help of AI. I used the program DALL-E2, which is similar to Midjourney. Both were freely available and a tool that any rank amateur “artist” (like me) could use.
Generative AI as a source of art burst into the public’s consciousness in 2022 because of the public release of these programs, but AI generated art has been around for a few years before that although used exclusively by art specialists. The New York Times reports on a sale at Christie’s Auction House four years earlier, in October 2018 (not exactly eons ago, but generations in internet/AI time). A portrait with blurred and distorted lines produced by an AI algorithm sold in New York for $432,500 (with fees). Christie’s, in inimitable auctioneering style, billed it as “the first portrait generated by an algorithm to come up for auction”, according to the Times. Now AI generated art is a dime a dozen. In fact, often it is hard to tell what is AI generated and what is not.
If the question of copyright protection for AI generated content is a big issue, an even bigger one is currently being played out currently in the courts; content owners, ranging from the New York Times to Getty Imagesto music labels to authors, are suing various AI development companies for unlicensed use of their content to train AI programs. The Copyright Alliance has a good summary of the various lawsuits in play here. The ultimate outcome is undecided, but if the courts find that the wholesale unlicensed and unauthorized ingestion of copyrighted content to train AI algorithms is not fair use (in the US) or does not fall within specified text and data mining exceptions in other jurisdictions, then the table will be set for serious negotiation between rights holders and AI developers. Some of the parameters of this negotiation are already pretty obvious;
If these conditions governing inputs were met, rights holders might be somewhat more sympathetic to arguments for copyrighting the output of generative AI programs. As it is, AI developers, and the users of AI programs, want to have their cake and eat it too. Jason B. Allen of “ThéâtreD’Opéra Spatial” is Exhibit No. 1.
Allen is currently appealing in court the US Copyright Office’s ruling that his work cannot be registered under copyright. He claims that because of all the publicity about his work, and the USCO’s subsequent decision to deny copyright registration on the grounds that it was an AI generated rather than human creation, the work has lost value and impacted his ability to charge industry-standard licensing fees. Moreover, he claims that without copyright protection, he has no ability to stop others from using his work without authorization. (Like me, posting Théâtre on this blog post).Apparently, people are selling copies of the work on Etsy. One has some sympathy for his position, as it is one faced by many artists whose copyrighted works are also being ripped off on the internet.
Allen argues he had substantial creative input into the production of the work, using no fewer than 624 prompts to create the work to his mental specifications. Of course, we have no idea of what those specifications were. What Midjourney produced may have been an accurate reflection of what Allen had in his mind and intentionally created, or it may have taken him on a journey where he eventually settled on the output offered. One thing is likely, if not certain. Were he to enter those exact same prompts into Midjourney today, the outcome would not be identical to the current “Théâtre D’Opéra Spatial”. This raises the question of who, exactly, is guiding the creative process, the artist making the prompts, or the algorithm responding to the prompts.
Because of the way AI works, there is a large degree of randomness in the results, requiring more and more precise prompts to narrow the range of possibilities and guide the algorithm to the desired destination. But it is almost impossible to recreate precisely the route to an outcome. This suggests to me that, in the end, it is the algorithm that is in control, not the human issuing the prompts. (Although not everyone agrees with this thesis). To my mind, this is what distinguishes AI-generated art from photography, where the photographer, while using a mechanical assist, is nevertheless in full control at all times and has the ability to adjust for extraneous inputs such as light, shadow etc. rather than being controlled by them.
Allen’s appeal of the USCO’s rejection of his copyright claim takes place against a backdrop where Midjourney, the AI program he used, is itself being sued by a group of artists for appropriating their work without permission in order to train Midjourney’s art generation algorithms. Does anyone see any irony in this? However, the fact that Midjourney takes the works of others without permission for training and development purposes is not really Allen’s fault. He and other users of the program could perhaps be considered victims almost as much as the artists whose works have been appropriated. Nevertheless, if Allen is ever successful in getting Théâtre registered, this will be not just to his benefit, but also to the benefit of Midjourney and all the other AI developers who are in a similar position. On the other hand, if the output of their programs cannot be copyright protected, it diminishes the value of the AI product. So, perversely, the more Allen pursues registration for Théâtre, the more he undercuts those who make a living from producing art.
I see one possible scenario that could help resolve the issue of AI outputs being unprotectable. If the key elements of respect for copyrighted work (transparent inventory, opt in/out, licensing) were to be adopted by AI developers, then perhaps rights-holders would be more amenable to accepting at least some degree of copyright protection for AI created or assisted outputs. But right now, the AI industry wants it both ways; total freedom to appropriate copyrighted works for training and development purposes while claiming the same copyright protection they have just trampled for AI generated outputs. Jason Allen and other digital artists who use AI to produce art or other works are caught in the middle.
At the moment there is no clear solution. The most likely outcome–after all the legal dust has settled—is probably going to be some ability to copyright works produced with AI, dependent on the extent and degree of human intervention in a given work (which could possibly be carefully tailored prompts), balanced by a commitment by the AI industry to recognize the property rights of those holding copyright over the content it is using to create the AI program in the first place. This will necessarily involve an appropriate sharing of the added value being produced by AI in the form of licensing fees. This will take a few more years, a few more lawsuits, a few court decisions, and a few government interventions in the form of legislation–but I can see no other way forward. In the interim, neither Stephen Thaler nor Jason Allen are likely to get what they want.
This article was first published on Hugh Stephens Blog