There’s been a lot of kerfuffle in the art world as of late about the ethics and capabilities of
AI art (previously), and
as Britain’s leading institution for contemporary art, you seem like just the right people to bring
it to the public. My proposal is simple, but effective — let man and machine compete on equal
footing.
Eight or so talented human artists will be given a prompt to work from. At the same time, the same
prompt will be given to a state-of-the-art machine-learning algorithm, like Midjourney or Stable
Diffusion. In the gallery, the two works — one made by metal, one made by flesh — will be hung side
by side, and the audience will not be told which is which.
Next to each diptych will sit two bins where visitors can dispense plastic tokens (like the ones
they have at Asda) to vote on which painting is their favourite. At the end of the exhibition’s run
(or perhaps updating live; your call), the votes will be tallied up, and we’ll finally find out
whether us or our creations are the better artists.
If you really wanted to provoke, you could ask the humans to provide you with a list of every
painting they’ve ever seen, every photo they’ve ever taken, every film they’ve ever watched, and
every song they’ve ever heard. Then you put that big list up on the wall, tell the visitors that
Advanced Biological Neural Learning Algorithms have taken quote-unquote “inspiration” from all of
these copyrighted works, and put to vote whether you should contact the rightsholders and ask them
to sue. It would be only fair.
Chære and regards, Xanthe. P.S. — I am not a crackpot.
I recently bought 1000 images’ worth of credits on DreamStudio — a machine-learningα-powered art generator — on a whim and, after the requisite “Boris Johnson taking a bath of baked
beans” joke entries, i thought it would be an interesting test to get it to generate some images for
my shrines (on- and offline).
My motivations were twofold: first, due to copyright constraints, all of the icons adorning these
shrines were either old baroque paintings or freely-licenced photos of even older marble statues,
which didn’t necessarily represent my mental image of the Gods’ appearances — a topic which, of
course, will vary massively from artist to artist and culture to culture. Second, i thought it would
be a fascinating experiment to see how this machine learning algorithm, which has taken in hundreds
upon thousands (perhaps millions; i’ve not checked) of images, views the Gods in its latent space.
Just as it has a prototypical idea of a “dog” and a “cat”, surely it also has one for “God” and
“Dionysos”.
As is tradition, we begin this article with Hestia (although Her
portrait was actually the final one to be generated). On the broad strokes, my computer collaborator
knocked it out of the park — but a closer look reveals some glaring imperfections in the face and
hands, a theme which we’ll be seeing a lot of (and which i sometimes managed to harness to my
advantage).
I should note that i’m not just feeding it theonyms with no added context: the programme works best
if you help it along to your goal with a heaping of adjectives and descriptors, say, to tell it that
this is indeed meant to be an artwork (“4K ultra
HD”, “trending on ArtStation”), the details of the pose and background
you want (“blonde hair”, “raising His hand to the sky”), or the style and artists you want it to
take from (“baroque painting by Thomas Cole”, a prominent painter of beautiful, well-lit
landscapes). If you calibrate it just right, it can make some genuinely beautiful stuff, like the
above picture of Apollon (which i did, admittedly, have to manually
touch up to get rid of a prominent Habsburg chin).
It may be an immensely powerful tool, but DreamStudio can also be rather prudish.β
It blurs out any images it thinks might contain the utterly offensive sight of the genitalia with
which we are all born, which can be a real problem if the relevant pictures it’s learnt from are all
Greek and Roman statues — not exactly works known for their nether modesty. The detection software
isn’t perfect, though, and sometimes, like in this portrait of Gæa, it
lets a few slip past (perhaps because of the greenish tone with which i instructed itγ
to portray Her skin).
The algorithm sometimes has issues with more complex prompts, for it is just a machine, and doesn’t
actually understand that “ball on top of a red box” means that the ball indeed should be on
top of the box, as opposed to by its side, beneath it, or fused together in a horrific amalgam.
These troubles somewhat manifested themselves in the above portrait of Hermes; the winged cap He is
traditionally depicted with has transformed itself into both a crown and a hulking pair of soaring,
fleshy wings emanating from His shoulders, and the recognisable caduceus has been reduced to a
bamboo stick by His side.
Perhaps it’s just the style i instructed it to paint in — sixteenth-century European paintings
aren’t renowned for their diversity — but DreamStudio also has some real trouble with darker skin
tones. You can cry “dark skin, dark bronze skin, dark skin, dark skin, dark skin, black”
all you want, but the only thing that can consistently get it to generate anything a shade below the
average Spaniard is “African American”, which tends to bring along a heap of other associated
physical changes besides just skin tone. (I have to say, i don’t particularly envision Hermes as the
eponymous Futurama character in my head.)
It also has quite some trouble with arms and legs. Originally, i thought of its odd morphings and
multiplications as a bug to be stamped out, but i came to see them as a feature, representing the
manifold, varied aspects of the Gods, their omnipresence, transcending the limits of human form.
(This is also why the Hindus do it, if i recall correctly.)
I would have rather the above portrait of Hermaphroditos been slightly
more, ah, gynomorphic around the chest, so to speak, but i’d been trying to get a decent pose for
what felt like an hour and i didn’t feel like fighting the blur anymore.
So then — it’s a bit off in places, and lacks the leopard-skin toga i would have liked, and lord
knows what the objects He’s holding are meant to be, and it turned out the computer really, really,
struggled with the basic concept of a faun or satyr’s legs, but we end this post with DreamStudio’s
interpretation of an icon of Dionysos, framed by some beautiful
landscape.
Navigating through the neural net’s knowledge and limitations has been a fascinating, illuminating
exercise, which has left no doubt in my mind that “AI art” is, indeed,
just that: art. It seems to me much more comparable to something like photography than painting:
rather than doing the hard work by hirself with brush strokes and pencil lines, the artist guides
hir computer collaborator through latent space, pressing “click” when sie finds something appealing.
One can only hope the Muses would approve.