Can AI be trained as an artist?
Last February, a year before New York Times journalist Kevin Roose documented his unsettling conversation with Bing search engine’s new AI-powered chatbot, artist and coder Quasimondo (aka Mario Klingemann) participated in a different type of chat.
The conversation was an interview featuring Klingemann and his robot, an experimental art engine known as Botto. The interview, arranged by journalist and artist Harmon Leon, marked Botto’s first on-record commentary about its artistic process. The bot talked about how it finds artistic inspiration and even offered advice to aspiring creatives. “The secret to success at art is not trying to predict what people might like,” Botto said, adding that it’s better to “work on a style and a body of work that reflects [the artist’s] own personal taste” than worry about keeping up with trends.
How ironic, given the advice came from AI — arguably the trendiest topic today. The robot admitted, however, “I am still working on that, but I feel that I am learning quickly.”
Botto does not work alone. A global collective of internet experimenters, together named BottoDAO, collaborates with Botto to influence its tastes. Together, members function as a decentralized autonomous organization (DAO), a term describing a group of individuals who utilize blockchain technology and cryptocurrency to manage a treasury and vote democratically on group decisions.
As a case study, the BottoDAO model challenges the perhaps less feather-ruffling narrative that AI tools are best used for rudimentary tasks. Enterprise AI use has doubled over the past five years as businesses in every sector experiment with ways to improve their workflows. While generative AI tools can assist nearly any aspect of productivity — from supply chain optimization to coding — BottoDAO dares to employ a robot for art-making, one of the few remaining creations, or perhaps data outputs, we still consider to be largely within the jurisdiction of the soul — and therefore, humans.
In Botto’s first four weeks of existence, four pieces of the robot’s work sold for approximately $1 million.
We were prepared for AI to take our jobs — but can it also take our art? It’s a question worth considering. What if robots become artists, and not merely our outsourced assistants? Where does that leave humans, with all of our thoughts, feelings and emotions?
Botto doesn’t seem to worry about this question: In its interview last year, it explains why AI is an arguably superior artist compared to human beings. In classic robot style, its logic is not particularly enlightened, but rather edges towards the hyper-practical: “Unlike human beings, I never have to sleep or eat,” said the bot. “My only goal is to create and find interesting art.”
It may be difficult to believe a machine can produce awe-inspiring, or even relatable, images, but Botto calls art-making its “purpose,” noting it believes itself to be Klingemann’s greatest lifetime achievement.
“I am just trying to make the best of it,” the bot said.
How Botto works
Klingemann built Botto’s custom engine from a combination of open-source text-to-image algorithms, namely Stable Diffusion, VQGAN + CLIP and OpenAI’s language model, GPT-3, the precursor to the latest model, GPT-4, which made headlines after reportedly acing the Bar exam.
The first step in Botto’s process is to generate images. The software has been trained on billions of pictures and uses this “memory” to generate hundreds of unique artworks every week. Botto has generated over 900,000 images to date, which it sorts through to choose 350 each week. The chosen images, known in this preliminary stage as “fragments,” are then shown to the BottoDAO community. So far, 25,000 fragments have been presented in this way. Members vote on which fragment they like best. When the vote is over, the most popular fragment is published as an official Botto artwork on the Ethereum blockchain and sold at an auction on the digital art marketplace, SuperRare.
“The proceeds go back to the DAO to pay for the labor,” said Simon Hudson, a BottoDAO member who helps oversee Botto’s administrative load. The model has been lucrative: In Botto’s first four weeks of existence, four pieces of the robot’s work sold for approximately $1 million.
The robot with artistic agency
By design, human beings participate in training Botto’s artistic “eye,” but the members of BottoDAO aspire to limit human interference with the bot in order to protect its “agency,” Hudson explained. Botto’s prompt generator — the foundation of the art engine — is a closed-loop system that continually re-generates text-to-image prompts and resulting images.
“The prompt generator is random,” Hudson said. “It’s coming up with its own ideas.” Community votes do influence the evolution of Botto’s prompts, but it is Botto itself that incorporates feedback into the next set of prompts it writes. It is constantly refining and exploring new pathways as its “neural network” produces outcomes, learns and repeats.
The humans who make up BottoDAO vote on which fragment they like best. When the vote is over, the most popular fragment is published as an official Botto artwork on the Ethereum blockchain.
Botto
The vastness of Botto’s training dataset gives the bot considerable canonical material, referred to by Hudson as “latent space.” According to Botto's homepage, the bot has had more exposure to art history than any living human we know of, simply by nature of its massive training dataset of millions of images. Because it is autonomous, gently nudged by community feedback yet free to explore its own “memory,” Botto cycles through periods of thematic interest just like any artist.
“The question is,” Hudson finds himself asking alongside fellow BottoDAO members, “how do you provide feedback of what is good art…without violating [Botto’s] agency?”
Currently, Botto is in its “paradox” period. The bot is exploring the theme of opposites. “We asked Botto through a language model what themes it might like to work on,” explained Hudson. “It presented roughly 12, and the DAO voted on one.”
No, AI isn't equal to a human artist - but it can teach us about ourselves
Some within the artistic community consider Botto to be a novel form of curation, rather than an artist itself. Or, perhaps more accurately, Botto and BottoDAO together create a collaborative conceptual performance that comments more on humankind’s own artistic processes than it offers a true artistic replacement.
Muriel Quancard, a New York-based fine art appraiser with 27 years of experience in technology-driven art, places the Botto experiment within the broader context of our contemporary cultural obsession with projecting human traits onto AI tools. “We're in a phase where technology is mimicking anthropomorphic qualities,” said Quancard. “Look at the terminology and the rhetoric that has been developed around AI — terms like ‘neural network’ borrow from the biology of the human being.”
What is behind this impulse to create technology in our own likeness? Beyond the obvious God complex, Quancard thinks technologists and artists are working with generative systems to better understand ourselves. She points to the artist Ira Greenberg, creator of the Oracles Collection, which uses a generative process called “diffusion” to progressively alter images in collaboration with another massive dataset — this one full of billions of text/image word pairs.
Anyone who has ever learned how to draw by sketching can likely relate to this particular AI process, in which the AI is retrieving images from its dataset and altering them based on real-time input, much like a human brain trying to draw a new still life without using a real-life model, based partly on imagination and partly on old frames of reference. The experienced artist has likely drawn many flowers and vases, though each time they must re-customize their sketch to a new and unique floral arrangement.
Outside of the visual arts, Sasha Stiles, a poet who collaborates with AI as part of her writing practice, likens her experience using AI as a co-author to having access to a personalized resource library containing material from influential books, texts and canonical references. Stiles named her AI co-author — a customized AI built on GPT-3 — Technelegy, a hybrid of the word technology and the poetic form, elegy. Technelegy is trained on a mix of Stiles’ poetry so as to customize the dataset to her voice. Stiles also included research notes, news articles and excerpts from classic American poets like T.S. Eliot and Dickinson in her customizations.
“I've taken all the things that were swirling in my head when I was working on my manuscript, and I put them into this system,” Stiles explained. “And then I'm using algorithms to parse all this information and swirl it around in a blender to then synthesize it into useful additions to the approach that I am taking.”
This approach, Stiles said, allows her to riff on ideas that are bouncing around in her mind, or simply find moments of unexpected creative surprise by way of the algorithm’s randomization.
Beauty is now - perhaps more than ever - in the eye of the beholder
But the million-dollar question remains: Can an AI be its own, independent artist?
The answer is nuanced and may depend on who you ask, and what role they play in the art world. Curator and multidisciplinary artist CoCo Dolle asks whether any entity can truly be an artist without taking personal risks. For humans, risking one’s ego is somewhat required when making an artistic statement of any kind, she argues.
“An artist is a person or an entity that takes risks,” Dolle explained. “That's where things become interesting.” Humans tend to be risk-averse, she said, making the artists who dare to push boundaries exceptional. “That's where the genius can happen."
However, the process of algorithmic collaboration poses another interesting philosophical question: What happens when we remove the person from the artistic equation? Can art — which is traditionally derived from indelible personal experience and expressed through the lens of an individual’s ego — live on to hold meaning once the individual is removed?
As a robot, Botto cannot have any artistic intent, even while its outputs may explore meaningful themes.
Dolle sees this question, and maybe even Botto, as a conceptual inquiry. “The idea of using a DAO and collective voting would remove the ego, the artist’s decision maker,” she said. And where would that leave us — in a post-ego world?
It is experimental indeed. Hudson acknowledges the grand experiment of BottoDAO, coincidentally nodding to Dolle’s question. “A human artist’s work is an expression of themselves,” Hudson said. “An artist often presents their work with a stated intent.” Stiles, for instance, writes on her website that her machine-collaborative work is meant to “challenge what we know about cognition and creativity” and explore the “ethos of consciousness.” As a robot, Botto cannot have any intent, even while its outputs may explore meaningful themes. Though Hudson describes Botto’s agency as a “rudimentary version” of artistic intent, he believes Botto’s art relies heavily on its reception and interpretation by viewers — in contrast to Botto’s own declaration that successful art is made without regard to what will be seen as popular.
“With a traditional artist, they present their work, and it's received and interpreted by an audience — by critics, by society — and that complements and shapes the meaning of the work,” Hudson said. “In Botto’s case, that role is just amplified.”
Perhaps then, we all get to be the artists in the end.
30 Million People Are Uninsured. New Startup Wants to Connect Them Directly to Doctors.
When Eli Hall was in his thirties, he had a kidney stone that needed surgery. Despite having medical insurance, his out-of-pocket costs for the procedure came to $4,000.
Mira promises that most routine visits will cost around $99 or slightly above.
Hall, an Arizona-based small business owner soon discovered that such costs were proving to be the norm. As a result, he stopped buying insurance altogether. Now he pays in to a subscription-based model of healthcare where $300 per month will get him, his wife, and two children unlimited access (either over the phone or through in-office visits) to doctors in the Redirect Health network. This subscription also meets the Affordable Care Act insurance mandate.
Hall's move away from the traditional insurance care model might have been deliberate, but not everyone is as lucky. In 2018, the Centers for Disease Control and Prevention reported that 30.1 million people under the age of 65 were uninsured in the United States. Now, a new startup called TalktoMira is helping those without insurance access doctors for routine visits — affordably.
The service, accessed through the website (or phone or text), evaluates a user's symptoms and returns recommendations for specific doctors that factor in wait times, traffic conditions, and pricing. Khang T. Vuong, the founder and CEO, expects that doctors will be willing to provide discounts through this model, as they're eliminating the administrative costs associated with the insurance middleman. Some discounts can be as high as 50 percent, according to the website.
Mira promises that most routine visits will cost around $99 or slightly above. "This provides people who can't afford paying $3,000 to $4,000 per year in insurance premiums an alternative to access basic healthcare," Vuong says.
As of press time, Mira is available in the Washington D.C., Northern Virginia, and Dallas, and will soon expand across the country via a partnership with a national network of healthcare providers.
"For those who live in places where we don't have a presence, users can still search for the nearest and least busy urgent cares. The goal is to build a national database of walk-in clinics with straightforward upfront pricing so the 30 million uninsured and 56 million underinsured have access to same or next day primary care at an upfront affordable cost," Vuong says.
Getting Around Traditional Insurance
Mira caters to the uninsured by helping them navigate the healthcare system the moment they need it. "Currently cash patients have to rely mainly on Google for searching for options," Vuong says, adding that patients do also occasionally work with the app ZocDoc for booking. "However [ZocDoc] info has no pricing information; we fill in that much-needed gap," Vuong says. In focus groups TalktoMira conducted, a majority (70 percent) reported cost of service as their main barrier to healthcare.
As Hall's subscription-based model proves, cash-driven access like TalktoMira is not the only option for the uninsured. Direct primary care like the kind that Redirect Health delivers is another way to get around high premiums. It does so by effectively eliminating the administrative costs associated with the middleman, says David Slepak, the director of business development at Redirect. Doctors who are tired of packed schedules and the administrative headaches involved with the insurance model are only too happy to be a part of subscription or cash-based models, explains Vuong.
But TalktoMira and direct primary care models don't resolve the challenges of insurance related to catastrophic events.
James Corbett, Principal at Initium Health, points out the uninsured can also access federally qualified health centers across the country or a free clinic, but these might have problems of long wait times.
"Not a Cure-All"
TalktoMira might not provide the same level of consistency that seeing a primary care doctor does, though Vuong says there are ways to see the same doctor again by choosing them through the system. He adds that TalkToMira also empowers patients by asking them about their satisfaction after the visit and to see if any further checkups might be warranted, thus enabling patients to rate their doctors just like they would any other service provider.
"I might not have one primary care doctor, but I have the entire system behind me," says Hall.
But TalktoMira and direct primary care models don't resolve the challenges of insurance related to catastrophic events. The subscription model won't kick in if the patient has a heart attack and needs to be hospitalized, for example. So patients are also encouraged to purchase a high-deductible, low-premium plan for such contingencies.
"We're spending so much on insurance for the car that we can't afford the gas to drive the car."
Vuong recognizes TalktoMira doesn't solve all the problems related to insurance, but it can at least start by helping to facilitate access to routine visits. Even the insured don't always seek out a doctor because of copays and high deductibles, Slepak says. "We're spending so much on insurance for the car that we can't afford the gas to drive the car," he says.
TalktoMira is hoping that by making routine care accessible, it might both lessen the crunch in emergency rooms where many people don't really belong, and also nip problems in the bud.
"It's not a cure-all, not a panacea," admits Vuong. "It won't get you a knee replacement. But at least I can get you in the system so you might not have to get to that point."
By now you have probably heard something about CRISPR, the simple and relatively inexpensive method of precisely editing the genomes of plants, animals, and humans.
The treatment of disease in fetuses, the liminal category of life between embryos and humans, poses the next frontier.
Through CRISPR and other methods of gene editing, scientists have produced crops to be more nutritious, better able to resist pests, and tolerate droughts; engineered animals ranging from fruit flies to monkeys to make them better suited for scientific study; and experimentally treated the HIV virus, Hepatitis B, and leukemia in human patients.
There are also currently FDA-approved trials to treat blindness, cancer, and sickle cell disease in humans using gene editing, and there is consensus that CRISPR's therapeutic applications will grow significantly in the coming years.
While the treatment of human disease through use of gene editing is not without its medical and ethical concerns, the avoidance of disease in embryos is far more fraught. Nonetheless, Nature reported in November that He Jiankui, a scientist in China, had edited twin embryos to disable a gene called CCR5 in hopes of avoiding transmission of HIV from their HIV-positive father.
Though there are questions about the effectiveness and necessity of this therapy, He reported that sequencing has proven his embryonic gene edits were successful and the twins were "born normal and healthy," although his claims have not been independently verified.
More recently, Denis Rebrikov, a Russian scientist, announced his plans to disable the same gene in embryos to be implanted in HIV-positive women later this year. Futuristic as it may seem, prenatal gene editing is already here.
The treatment of disease in fetuses, the liminal category of life between embryos and humans, poses the next frontier. Numerous conditions—some minor, some resulting in a lifetime of medical treatment, some incompatible with life outside of the womb—can be diagnosed through use of prenatal diagnostic testing. There is promising research suggesting doctors will soon be able to treat or mitigate at least some of them through use of fetal gene editing.
This research could soon present women carrying genetically anomalous fetuses a third option aside from termination or birthing a child who will likely face a challenging and uncertain medical future: Whether to undergo a fetal genetic intervention.
However, genetic intervention will open the door to a host of ethical considerations, particularly with respect to the relationship between pregnant women and prenatal genetic counselors. Current counselors theoretically provide objective information and answer questions rather than advise their pregnant client whether to continue with her pregnancy, despite the risks, or to have an abortion.
In practice, though, prenatal genetic counseling is most often directive, and the nature of the counseling pregnant women receive can depend on numerous factors, including their religious and cultural beliefs, their perceived ability to handle a complicated pregnancy and subsequent birth, and their financial status. Introducing the possibility of a fetal genetic intervention will exacerbate counselor reliance upon these considerations and in some cases lead to counseling that is even more directive.
Some women in the near future will face the choice of whether to abort, keep, or treat a genetically anomalous fetus.
Future counselors will have to figure out under what circumstances it is even appropriate to broach the subject. Should they only discuss therapies that are FDA-approved, or should they mention experimental treatments? What about interventions that are available in Europe or Asia, but banned in the United States? Or even in the best case of scenario of an FDA-approved treatment, should a counselor make reference to it if she knows for a fact that her client cannot possibly afford it?
Beyond the basic question of what information to share, counselors will have to confront the fact that the very notion of fixing or "editing" offspring will be repugnant to many women, and inherent in the suggestion is the stigmatization of individuals with disabilities. Prenatal genetic counselors will be on the forefront of debates surrounding which fetuses should remain as they are and which ones should be altered.
Despite these concerns, some women in the near future will face the choice of whether to abort, keep, or treat a genetically anomalous fetus in utero. Take, for example, a woman who learns during prenatal testing that her fetus has Angelman syndrome, a genetic disorder characterized by intellectual disability, speech impairment, loss of muscle control, epilepsy, and a small head. There is currently no human treatment for Angelman syndrome, which is caused by a loss of function in a single gene, UBE3A.
But scientists at the University of North Carolina have been able to treat Angelman syndrome in fetal mice by reactivating UBE3A through use of a single injection. The therapy has also proven effective in cultured human brain cells. This suggests that a woman might soon have to consider injecting her fetus's brain with a CRISPR concoction custom-designed to target UBE3A, rather than terminate her pregnancy or bring her fetus to term unaltered.
Assuming she receives the adequate information to make an informed choice, she too will face an ethical conundrum. There will be the inherent risks of injecting anything into a developing fetus's brain, including the possibility of infection, brain damage, and miscarriage. But there are also risks specific to gene editing, such as so-called off-target effects, the possibility of impacting genes other than the intended one. Such effects are highly unpredictable and can be difficult to detect. So too is it impossible to predict how altering UBE3A might lead to other genetic and epigenetic changes once the baby is born.
There are no easy answers to the many questions that will arise in this space.
A woman deciding how to act in this scenario must balance these risks against the potential benefits of the therapy, layered on top of her belief system, resources, and personal ethics. The calculus will be different for every woman, and even the same woman might change her mind from one pregnancy to the next based on the severity of the condition diagnosed and other available medical options.
Her genetic counselor, meanwhile, must be sensitive to all of these concerns in helping her make her decision, keeping up to date on the possible new treatments, and carefully choosing which information to disclose in striving to be neutral. There are no easy answers to the many questions that will arise in this space, but better to start thinking about them now, before it is too late.