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.
What Will Make the Public Trust a COVID-19 Vaccine?
With a brighter future hanging on the hopes of an approved COVID-19 vaccine, is it possible to win over the minds of fearful citizens who challenge the value or safety of vaccination?
Globally, nine COVID-19 vaccines so far are being tested for safety in early phase human clinical trials.
It's a decades-old practice. With a dose injected into the arm of a healthy patient, doctors aim to prevent illness with a vaccine shot designed to trigger a person's immune system to fight serious infection without getting the disease.
This week, in fact, the U.S. frontrunner vaccine candidate, developed by Moderna, safely produced an immune response in the first eight healthy volunteers, the company announced. A large efficacy trial is planned to start in July. But if positive signals for safety and efficacy result from that trial, will that be enough to convince the public to broadly embrace a new vaccine?
"Throughout the history of vaccines there has always been a small vocal minority who don't believe vaccines work or don't trust the science," says sociologist and researcher Jennifer Reich, a professor at the University of Colorado in Denver and author of Calling the Shots: Why Parents Reject Vaccines.
Research indicates that only about 2 percent of the population say vaccines aren't necessary under any circumstance. Remarkably, a quarter to one third of American parents delay or reject the shots, not because they are anti-vaccine, but because they disapprove of the recommended timing or administration, says Reich.
Additionally, addressing distrust about how they come to market is key when talking to parents, workers or anyone targeted for a new vaccine, she says.
"When I talk to parents about why they reject vaccines for their kids, a lot of them say that they don't fully trust the process by which vaccines are regulated and tested," says Reich. "They don't trust that vaccine manufacturers -- which are for-profit companies -- are looking out for public health."
Balancing Act
Globally, nine COVID-19 vaccine candidates so far are being tested for safety in early phase human clinical trials and more than 100 are under development as scientists hustle to curtail the disease. Creating a new vaccine at a record pace requires a delicate balance of benefit and risk, says vaccinology expert Dr. Kathryn Edwards, professor of pediatrics in the division of infectious diseases at Vanderbilt University School of Medicine in Nashville, Tenn.
"We take safety very seriously," says Dr. Edwards. "We don't want something bad to happen, but we also realize that we have a terrible outbreak and we have a lot of people dying. We want to figure out how we can stop this."
In the U.S., all vaccine clinical trials have a data safety board of experts who monitor results for adverse reactions and red flags that should halt a study, notes Dr. Edwards. Any candidate that succeeds through safety and efficacy trials still requires review and approval by the Food and Drug Administration before a public launch.
Community vs. Individual
A major challenge to the deployment of a safe and effective coronavirus vaccine goes beyond the technical realm. A persistent all-out anti-vaccine sentiment has found a home and growing community on social media where conspiracies thrive. Main tenets of the movement are that vaccines are ineffective, unsafe and cause autism, despite abundant scientific evidence to the contrary.
Best-case scenario, more than one successful vaccine ascends with competing methods to achieve the same goal of preventing or lessening the severity of the COVID-19 virus.
In fact, widespread use of vaccines is considered by the U.S. Centers of Disease Control and Prevention to be one of the greatest public health achievements of the 20th Century. The World Health Organization estimates that between two million to three million deaths are avoided each year through immunization campaigns that employ vaccination to control life-threatening infectious diseases.
Most people reluctant to give their children vaccines, however, don't oppose them for everyone, but believe that they are a personal choice, says Reich.
"They think that vaccines are one strategy in personal health optimization, but they shouldn't be mandated for participation in any part of civil society," she says.
Vaccine hesitancy, like the teeter totter of social distancing acceptance, reflects the push and pull of individual versus community values, says Reich.
"A lot of people are saying, 'I take personal responsibility for my own health and I don't want a city or a county or state telling me what I should and shouldn't do,'" says Reich. "Then we also see calls for collective responsibility that says 'It's not your personal choice. This is about helping health systems function. This is about making sure vulnerable people are protected.'"
These same debates are likely to continue if a vaccine comes to market, she says.
Building Public Confidence
Reich offers solutions to address the conflict between embedded American norms and widespread embrace of an approved COVID-19 vaccine. Long-term goals: Stop blaming people when they get sick, treat illness as a community responsibility, make sick leave common for all workers, and improve public health systems.
"In the shorter run," says Reich, "health authorities and companies that might bring a vaccine to market need to work very hard to explain to the public why they should trust this vaccine and why they should use it."
The rush for a viable vaccine raises questions for consumers. To build public confidence, it's up to FDA reviewers, institutions and pharmaceutical companies to explain "what steps were skipped. What steps moved forward. How rigorous was safety testing. And to make that information clear to the public," says Reich.
Dr. Edwards says clinical trial timelines accelerated to test vaccines in humans make all the safeguards involved in the process that more compelling and important.
"There's no question we need a vaccine," she says. "But we also have to make sure that we don't harm people."
The Road Ahead
Think of manufacturing and distribution as key pitstops to keep the race for a vaccine on the road to the finish line. Both elements require substantial effort and consideration.
The speed of getting a vaccine to those who need it could hinge on the type of technology used to create it. Best-case scenario, more than one successful vaccine ascends with competing methods to achieve the same goal of preventing or lessening the severity of the COVID-19 virus.
Technological platforms fall into two basic camps, those that are proven and licensed for other viruses, and experimental approaches that may hold great promise but lack regulatory approval, says Maria Elena Bottazzi, co-director of Texas Children's Center for Vaccine Development at Baylor College of Medicine in Houston.
Moderna, for instance, employs an experimental technology called messenger RNA (mRNA) that has produced the encouraging early results in human safety trials, although some researchers criticized the company for not making the data public. The mRNA vaccine instructs cells to make copies of the key COVID-19 spike protein, with the goal of then triggering production of immune cells that can recognize and attack the virus if it ever invades the body.
"We were already seeing a lot of dissent around questions of individual freedoms and community responsibilities."
Scientists always look for ways to incorporate new technologies into drug development, says Bottazzi. On the other hand, the more basic and generic the technology, theoretically, the faster production could ramp up if a vaccine proves successful through all phases of clinical trials, she says.
"I don't want to develop a vaccine in my lab, but then I don't have anybody to hand it off to because my process is not suitable" for manufacturing or scalability, says Bottazzi.
Researchers at the Baylor lab hope to repurpose a shelved vaccine developed for the genetically similar SARS virus, with a strategy to leverage what is already known instead of "starting from scratch" to develop a COVID-19 vaccine. A recombinant protein technology similar to that used for an approved Hepatitis B vaccine lets scientists focus on identifying a suitable vaccine target without the added worry of a novel platform, says Bottazzi.
The Finish Line
If and when a COVID-19 vaccine is approved is anyone's guess. Announcing a plan to hasten vaccine development via a program dubbed Operation Warp Speed, President Trump said recently one could be available "hopefully" by the end of the year or early 2021.
Scientists urge caution, noting that safe vaccines can take 10 years or more to develop. If a rushed vaccine turns out to have safety and efficacy issues, that could add ammunition to the anti-vaccine lobby.
Emergence of a successful vaccine requires an "enormous effort" with many complex systems from the lab all the way to manufacturing enough capacity to handle a pandemic, says Bottazzi.
"At the same time, you're developing it, you're really carefully assessing its safety and ability to be effective," she says, so it's important "not to get discouraged" if it takes longer than a year or more.
To gauge if a vaccine works on a broad scale, it would have to be delivered into communities where the virus is active. There are examples in history of life-saving vaccines going first to people who could pay for them and not to those who needed them most, says Reich.
"Agencies are going to have to think about how those distribution decisions are going to be made and who is going to make them and that will go a certain way toward reassuring the public," says Reich.
A Gallup survey last year found that vaccine confidence, in general, remains high, with 86 percent of Americans believing that vaccines are safer than the diseases that they are designed to prevent. Still, recent news organization polls indicate that roughly 20 to 25 percent of Americans say they won't or are unlikely to get a COVID-19 vaccine if one becomes available.
Until the 1980s, every vaccine to hit the market was appreciated; a culture of questioning science didn't exist in the same way as today, notes Reich. Time passed and attitudes changed.
"We were already having robust arguments nationally about what counts as an expert, what's the role of the government in daily life," says Reich. "We were already seeing a lot of dissent around questions of individual freedoms and community responsibilities. COVID-19 did not create those conflicts, but they've definitely become more visible since we've moved into this pandemic."
Scientists have long been aware that some people live with what's known as "congenital insensitivity to pain"—the inability to register the tingles, jolts, and aches that alert most people to injury or illness.
"If you break the chain of transmission somewhere along there, it doesn't matter what the message is—the recipient will not get it."
On the ospposite end of the spectrum, others suffer from hyperalgesia, or extreme pain; for those with erythromelalgia, also known as "Man on Fire Syndrome," warm temperatures can feel like searing heat—even wearing socks and shoes can make walking unbearable.
Strangely enough, the two conditions can be traced to mutations in the same gene, SCN9A. It produces a protein that exists in spinal cells—specifically, in the dorsal root ganglion—which transmits the sensation of pain from the nerves at the peripheral site of an injury into the central nervous system and to the brain. This fact may become the key to pain relief for the roughly 20 percent of Americans who suffer from chronic pain, and countless other patients around the world.
"If you break the chain of transmission somewhere along there, it doesn't matter what the message is—the recipient will not get it," said Dr. Fyodor Urnov, director of the Innovative Genomics Institute and a professor of molecular and cell biology at the University of California, Berkeley. "For scientists and clinicians who study this, [there's] this consistent tracking of: You break this gene, you stop feeling pain; make this gene hyperactive, you feel lots of pain—that really cuts through the correlation versus causation question."
Researchers tried for years, without much success, to find a chemical that would block that protein from working and therefore mute the pain sensation. The CRISPR-Cas9 gene editing tool could completely sidestep that approach and "turn off" pain directly.
Yet as CRISPR makes such targeted therapies increasingly possible, the ethical questions surrounding gene editing have taken on a new and more urgent cast—particularly in light of the work of the disgraced Chinese scientist He Jiankui, who announced in late 2018 that he had created the world's first genetically edited babies. He used CRISPR to edit two embryos, with the goal of disabling a gene that makes people susceptible to HIV infection; but then took the unprecedented step of implanting the edited embryos for pregnancy and birth.
Edits to germline cells, like the ones He undertook, involve alterations to gametes or embryos and carry much higher risk than somatic cell edits, since changes will be passed on to any future generations. There are also concerns that imprecise edits could result in mutations and end up causing more disorders. Recent developments, particularly the "search-and replace" prime-editing technique published last fall, will help minimize those accidental edits, but the fact remains that we have little understanding of the long-term effects of these germline edits—for the future of the patients themselves, or for the broader gene pool.
"We need to have appropriate venues where we deliberate and consider the ethical, legal and social implications of gene editing as a society."
It is much harder to predict the effects, harmful or otherwise, on the larger human population as a result of interactions with the environment or other genetic variations; with somatic cell edits, on the other hand— like the ones that would be made in an individual to turn off pain—only the person receiving the treatment is affected.
Beyond the somatic/germline distinction, there is also a larger ethical question over how much genetic interference society is willing to tolerate, which may be couched as the difference between therapeutic editing—interventions in response to a demonstrated medical need—and "enhancement" editing. The Chinese scientist He was roundly criticized in the scientific community for the fact that there are already much safer and more proven methods of preventing the parent-to-child transmission of HIV through the IVF process, making his genetic edits medically unnecessary. (The edits may also have increased the girls' risk of susceptibility to other viruses, like influenza and the West Nile virus.)
Yet there are even more extreme goals that CRISPR could be used to reach, ones further removed from any sort of medical treatment. The 1997 science fiction movie Gattaca imagined a dystopian future where genetic selection for strength and intelligence is common, creating a society that explicitly and unapologetically endorses eugenics. In the real world, Russian President Vladimir Putin has commented that genetic editing could be used to create "a genius mathematician, a brilliant musician or a soldier, a man who can fight without fear, compassion, regret or pain."
"[Such uses] would be considered using gene editing for 'enhancement,'" said Dr. Zubin Master, an associate professor of biomedical ethics at the Mayo Clinic, who noted that a series of studies have strongly suggested that members of the public, in the U.S. and around the world, are much less amenable to the prospect of gene editing for these purposes than for the treatment of illness and disease.
Putin's comments were made in 2017, before news of He's experiment broke; since then no country has moved to continue experiments on germline editing (although one Russian IVF specialist, Denis Rebrikov, appears ready to do so, if given approval). Master noted that the World Health Organization has an 18-person committee currently dedicated to considering these questions. The Expert Advisory Committee on Developing Global Standards for Governance and Oversight of Human Genome Editing first convened in March 2019; that July, it issued a recommendation to regulatory and ethics authorities in all countries to refrain from approving clinical application requests for work on human germline genome editing—the kind of alterations to genetic cells used by He. The committee's report and a fleshed-out set of guidelines is expected after its final meeting, in Geneva this September (unless the COVID-19 pandemic disrupts the timeline).
Regardless of the WHO's report, in the U.S., all regulations of new medical procedures are overseen at the federal level, subjected to extensive regulatory review by the FDA; the chance of any doctor or company going rogue is minimal to none. Likewise, the challenges we face are more on the regulatory end of the spectrum than the Gattaca end. Dr. Stephanie Malia Fullerton, a bioethics professor at the University of Washington, pointed out that eugenics not only typically involves state-sponsored control of reproduction, but requires a much more clearly delineated genetic basis of common complex traits—indeed, SCN9A is one way to get to pain, but is not the only source—and suggested that current concerns about over-prescribing opioids are a more pressing question for society to address.
In fact, Navega Therapeutics, based in San Diego, hopes to find out whether the intersection of this research into SCN9A and CRISPR would be an effective way to address the U.S. opioid crisis. Currently in a preclinical funding stage, Navega's approach focuses on editing epigenetic molecules attached to the basic DNA strand—the idea is that the gene's expression can be activated or suppressed rather than removed entirely, reducing the risk of unwanted side effects from permanently altering the genetic code.
As these studies focused on the sensation of pain go forward, what we are likely to see simultaneously is the use of CRISPR to target diseases that are the root causes of that pain. Last summer, Victoria Gray, a Mississippi woman with sickle cell disease was the second-ever person to be treated with CRISPR therapy in the U.S. The disease is caused by a genetic mutation that creates malformed blood cells, which can't carry oxygen as normal and get stuck inside blood vessels, causing debilitating pain. For the study, conducted in concert with CRISPR Therapeutics, of Cambridge, Mass., cells were removed from Gray's bone marrow, modified using CRISPR, and infused back into her body, a technique called ex vivo editing.
In early February this year, researchers at the University of Pennsylvania published a study on a first-in-human phase 1 clinical trial, in which three patients with advanced cancer received an infusion of ex vivo engineered T cells in an effort to improve antitumor immunity. The modified cells persisted for up to nine months, and the patients experienced no serious adverse side effects, suggesting that this sort of therapeutic gene editing can be performed safely and could potentially allow patients to avoid the excruciating process of chemotherapy.
Then, just this spring, researchers made another advance: The first attempt at in vivo CRISPR editing—where the edits happen inside the patient's body—is currently underway, as doctors attempt to treat a patient blinded by Leber congenital amaurosis, a rare genetic disorder. In an Oregon study sponsored by Editas Medicine and Allergan, the patient, a volunteer, was injected with a harmless virus carrying CRISPR gene-editing machinery; the hope is that the tool will be able to edit out the genetic defect and restore production of a crucial protein. Based on preliminary safety reports, the study has been cleared to continue, and data on higher doses may be available by the end of 2020. Editas Medicine and CRISPR Therapeutics are joined in this sphere by Intellia Therapeutics, which is seeking approval for a trial later this year on amyloidosis, a rare liver condition.
For any such treatment targeting SCN9A to make its way to human subjects, it would first need to undergo years' worth of testing—on mice, on primates, and then on volunteer patients after an extended informed-consent process. If everything went perfectly, Urnov estimates it could take at least three to four years end to end and cost between $5 and 10 million—but that "if" is huge.
"The idea of a regular human being, genetically pure of pain?"
And as that happens, "we need to have appropriate venues where we deliberate and consider the ethical, legal and social implications of gene editing as a society," Master said. CRISPR itself is open-source, but its application is subject to the approval of governments, institutions, and societies, which will need to figure out where to draw the line between miracle treatments and playing God. Something as unpleasant and ubiquitous as pain may in fact be the most appropriate place to start.
"The pain circuit is very old," Urnov said. "We have evolved with the senses that we have, and have become the species that we are, as a result of who we are, physiologically. Yes, I take Advil—but when I get a headache! The idea of a regular human being, genetically pure of pain?... The permanent disabling or turning down of the pain sensation, for anything other than a medical reason? … That seems to be challenging Mother Nature in the wrong ways."