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.
GOOD10: The Pandemic Issue explores big-picture ways that science innovation and communication can usher in a more equitable, more progress-oriented, and safer world.
This issue is a collaboration among GOOD, leapsmag, and the Aspen Institute Science & Society Program.
The GOOD10 format explores fundamental issues facing humanity through the lenses of ten forces pushing the needle toward progress: Places, Philanthropists, Celebrities, Whistleblowers, Companies, Media, Products, Politicians, Scientists, and Actions. Across these categories, we seek to present unexpected and encouraging paradigms emerging from this historic crisis.
This special issue is available as an e-reader version for both desktop and mobile. It is also available as a free downloadable PDF.
TABLE OF CONTENTS:
- PLACES:
55 Lessons Learned About Science Communication Around the World; Quarantining Our Way Into Outer Space - PLACES:
Quarantining Our Way Into Outer Space - PHILANTHROPISTS:
An Exclusive Interview with Wendy Schmidt about Science in the Pandemic Era - CELEBRITIES:
Neil deGrasse Tyson Wants Celebrities to Promote Scientists - WHISTLEBLOWERS:
The Science Sleuths Holding Fraudulent Research Accountable - COMPANIES:
The Biggest Challenge for a COVID-19 Vaccine: Making It Accessible and Affordable - MEDIA:
Isaac Asimov on the History of Infectious Disease—And How Humanity Learned To Fight Back - PRODUCTS:
Will COVID-19 Pave the Way For DIY Precision Medicine? - POLITICIANS:
Will the Pandemic Propel STEM Experts to Political Power? - SCIENTISTS:
Would a Broad-Spectrum Antiviral Drug Stop the Pandemic? - ACTIONS:
Pseudoscience is Rampant: How Not to Fall For It - ACTIONS:
How COVID-19 Could Usher In a New Age of Collective Drug Discovery
THE EVENT:
"The Pandemic Science Summit" focused on how science innovation is key to society's future stability as we emerge from the pandemic, featuring:
Christopher Bailey – Arts and Health Lead, World Health Organization
Elisabeth Bik, Ph.D. – Microbiologist and scientific integrity consultant
Margaret Hamburg, M.D. – Foreign Secretary, National Academy of Medicine; former Commissioner, U.S. Food and Drug Administration
Peggy Oti-Boateng, Ph.D. – Director, Division of Science Policy and Capacity- Building, UNESCO
George Yancopoulos, M.D., Ph.D. – President and Chief Scientific Officer, Regeneron Pharmaceuticals
Kira Peikoff was the editor-in-chief of Leaps.org from 2017 to 2021. As a journalist, her work has appeared in The New York Times, Newsweek, Nautilus, Popular Mechanics, The New York Academy of Sciences, and other outlets. She is also the author of four suspense novels that explore controversial issues arising from scientific innovation: Living Proof, No Time to Die, Die Again Tomorrow, and Mother Knows Best. Peikoff holds a B.A. in Journalism from New York University and an M.S. in Bioethics from Columbia University. She lives in New Jersey with her husband and two young sons. Follow her on Twitter @KiraPeikoff.
Two Conservative Icons Gave Opposite Advice on COVID-19. Those Misinformed Died in Higher Numbers, New Study Reports.
The news sources that you consume can kill you - or save you. That's the fundamental insight of a powerful new study about the impact of watching either Sean Hannity's news show Hannity or Tucker Carlson's Tucker Carlson Tonight. One saved lives and the other resulted in more deaths, due to how each host covered COVID-19.
Carlson took the threat of COVID-19 seriously early on, more so than most media figures on the right or left.
This research illustrates the danger of falling for health-related misinformation due to judgment errors known as cognitive biases. These dangerous mental blindspots stem from the fact that our gut reactions evolved for the ancient savanna environment, not the modern world; yet the vast majority of advice on decision making is to "go with your gut," despite the fact that doing so leads to so many disastrous outcomes. These mental blind spots impact all areas of our life, from health to politics and even shopping, as a survey by a comparison purchasing website reveals. We need to be wary of cognitive biases in order to survive and thrive during this pandemic.
Sean Hannity vs. Tucker Carlson Coverage of COVID-19
Hannity and Tucker Carlson Tonight are the top two U.S. cable news shows, both on Fox News. Hannity and Carlson share very similar ideological profiles and have similar viewership demographics: older adults who lean conservative.
One notable difference, however, relates to how both approached coverage of COVID-19, especially in February and early March 2020. Researchers at the Becker Friedman Institute for Economics at the University of Chicago decided to study the health consequences of this difference.
Carlson took the threat of COVID-19 seriously early on, more so than most media figures on the right or left. Already on January 28, way earlier than most, Carlson spent a significant part of his show highlighting the serious dangers of a global pandemic. He continued his warnings throughout February. On February 25, Carlson told his viewers: "In this country, more than a million would die."
By contrast, Hannity was one of the Fox News hosts who took a more extreme position in downplaying COVID-19, frequently comparing it to the flu. On February 27, he said "And today, thankfully, zero people in the United States of America have died from the coronavirus. Zero. Now, let's put this in perspective. In 2017, 61,000 people in this country died from influenza, the flu. Common flu." Moreover, Hannity explicitly politicized COVID-19, claiming that "[Democrats] are now using the natural fear of a virus as a political weapon. And we have all the evidence to prove it, a shameful politicizing, weaponizing of, yes, the coronavirus."
However, after President Donald Trump declared COVID-19 a national emergency in mid-March, Hannity -- and other Fox News hosts -- changed their tune to align more with Carlson's, acknowledging the serious dangers of the virus.
The Behavior and Health Consequences
The Becker Friedman Institute researchers investigated whether the difference in coverage impacted behaviors. They conducted a nationally representative survey of over 1,000 people who watch Fox News at least once a week, evaluating both viewership and behavior changes in response to the pandemic, such as social distancing and improving hygiene.
Next, the study compared people's behavior changes to viewing patterns. The researchers found that "viewers of Hannity changed their behavior five days later than viewers of other shows, while viewers of Tucker Carlson Tonight changed their behavior three days earlier than viewers of other shows." The statistical difference was more than enough to demonstrate significance; in other words, it was extremely unlikely to occur by chance -- so unlikely as to be negligible.
Did these behavior changes lead to grave consequences? Indeed.
The paper compared the popularity of each show in specific counties to data on COVID-19 infections and deaths. Controlling for a wide variety of potential confounding variables, the study found that areas of the country where Hannity is more popular had more cases and deaths two weeks later, the time that it would take for the virus to start manifesting itself. By March 21st, the researchers found, there were 11 percent more deaths among Hannity's viewership than among Carlson's, again with a high degree of statistical significance.
The study's authors concluded: "Our findings indicate that provision of misinformation in the early stages of a pandemic can have important consequences for health outcomes."
Such outcomes stem from excessive trust that our minds tend to give those we see as having authority, even if they don't possess expertise in the relevant subject era.
Cognitive Biases and COVID-19 Misinformation
It's critically important to recognize that the study's authors did not seek to score any ideological points, given the broadly similar ideological profiles of the two hosts. The researchers simply explored the impact of accurate and inaccurate information about COVID-19 on the viewership. Clearly, the false information had deadly consequences.
Such outcomes stem from excessive trust that our minds tend to give those we see as having authority, even if they don't possess expertise in the relevant subject era -- such as media figures that we follow. This excessive trust - and consequent obedience - is called the "authority bias."
A related mental pattern is called "emotional contagion," in which we are unwittingly infected with the emotions of those we see as leaders. Emotions can motivate action even in the absence of formal authority, and are particularly important for those with informal authority, including thought leaders like Carlson and Hannity.
Thus, Hannity telling his audience that Democrats used anxiety about the virus as a political weapon led his audience to reject fears of COVID-19, even though such a reaction and consequent behavioral changes were the right response. Carlson's emphasis on the deadly nature of this illness motivated his audience to take appropriate precautions.
Authority bias and emotional contagion facilitate the spread of misinformation and its dangers, at least when we don't take the steps necessary to figure out the facts. Such steps can range from following best fact-checking practices to getting your information from news sources that commit publicly to being held accountable for truthfulness. Remember, the more important and impactful such information may be for your life, the more important it is to take the time to evaluate it accurately to help you make the best decisions.