As More People Crowdfund Medical Bills, Beware of Dubious Campaigns
Nearly a decade ago, Jamie Anderson hit his highest weight ever: 618 pounds. Depression drove him to eat and eat. He tried all kinds of diets, losing and regaining weight again and again. Then, four years ago, a friend nudged him to join a gym, and with a trainer's guidance, he embarked on a life-altering path.
Ethicists become particularly alarmed when medical crowdfunding appeals are for scientifically unfounded and potentially harmful interventions.
"The big catalyst for all of this is, I was diagnosed as a diabetic," says Anderson, a 46-year-old sales associate in the auto care department at Walmart. Within three years, he was down to 276 pounds but left with excess skin, which sagged from his belly to his mid-thighs.
Plastic surgery would cost $4,000 more than the sum his health insurance approved. That's when Anderson, who lives in Cabot, Arkansas, a suburb outside of Little Rock, turned to online crowdfunding to raise money. In a few months last year, current and former co-workers and friends of friends came up with that amount, covering the remaining expenses for the tummy tuck and overnight hospital stay.
The crowdfunding site that he used, CoFund Health, aimed to give his donors some peace of mind about where their money was going. Unlike GoFundMe and other platforms that don't restrict how donations are spent, Anderson's funds were loaded on a debit card that only worked at health care providers, so the donors "were assured that it was for medical bills only," he says.
CoFund Health was started in January 2019 in response to concerns about the legitimacy of many medical crowdfunding campaigns. As crowdfunding for health-related expenses has gained more traction on social media sites, with countless campaigns seeking to subsidize the high costs of care, it has given rise to some questionable transactions and legitimate ethical concerns.
Common examples of alleged fraud have involved misusing the donations for nonmedical purposes, feigning or embellishing the story of one's own unfortunate plight or that of another person, or impersonating someone else with an illness. Ethicists become particularly alarmed when medical crowdfunding appeals are for scientifically unfounded and potentially harmful interventions.
About 20 percent of American adults reported giving to a crowdfunding campaign for medical bills or treatments, according to a survey by AmeriSpeak Spotlight on Health from NORC, formerly called the National Opinion Research Center, a non-partisan research institution at the University of Chicago. The self-funded poll, conducted in November 2019, included 1,020 interviews with a representative sample of U.S. households. Researchers cited a 2019 City University of New York-Harvard study, which noted that medical bills are the most common basis for declaring personal bankruptcy.
Some experts contend that crowdfunding platforms should serve as gatekeepers in prohibiting campaigns for unproven treatments. Facing a dire diagnosis, individuals may go out on a limb to try anything and everything to prolong and improve the quality of their lives.
They may enroll in well-designed clinical trials, or they could fall prey "to snake oil being sold by people out there just making a buck," says Jeremy Snyder, a health sciences professor at Simon Fraser University in British Columbia, Canada, and the lead author of a December 2019 article in The Hastings Report about crowdfunding for dubious treatments.
For instance, crowdfunding campaigns have sought donations for homeopathic healing for cancer, unapproved stem cell therapy for central nervous system injury, and extended antibiotic use for chronic Lyme disease, according to an October 2018 report in the Journal of the American Medical Association.
Ford Vox, the lead author and an Atlanta-based physician specializing in brain injury, maintains that a repository should exist to monitor the outcomes of experimental treatments. "At the very least, there ought to be some tracking of what happens to the people the funds are being raised for," he says. "It would be great for an independent organization to do so."
"Even if it appears like a good cause, consumers should still do some research before donating to a crowdfunding campaign."
The Federal Trade Commission, the national consumer watchdog, cautions online that "it might be impossible for you to know if the cause is real and if the money actually gets to the intended recipient." Another caveat: Donors can't deduct contributions to individuals on tax returns.
"Even if it appears like a good cause, consumers should still do some research before donating to a crowdfunding campaign," says Malini Mithal, associate director of financial practices at the FTC. "Don't assume all medical treatments are tested and safe."
Before making any donation, it would be wise to check whether a crowdfunding site offers some sort of guarantee if a campaign ends up being fraudulent, says Kristin Judge, chief executive and founder of the Cybercrime Support Network, a Michigan-based nonprofit that serves victims before, during, and after an incident. They should know how the campaign organizer is related to the intended recipient and note whether any direct family members and friends have given funds and left supportive comments.
Donating to vetted charities offers more assurance than crowdfunding that the money will be channeled toward helping someone in need, says Daniel Billingsley, vice president of external affairs for the Oklahoma Center of Nonprofits. "Otherwise, you could be putting money into all sorts of scams." There is "zero accountability" for the crowdfunding site or the recipient to provide proof that the dollars were indeed funneled into health-related expenses.
Even if donors may have limited recourse against scammers, the "platforms have an ethical obligation to protect the people using their site from fraud," says Bryanna Moore, a postdoctoral fellow at Baylor College of Medicine's Center for Medical Ethics and Health Policy. "It's easy to take advantage of people who want to be charitable."
There are "different layers of deception" on a broad spectrum of fraud, ranging from "outright lying for a self-serving reason" to publicizing an imaginary illness to collect money genuinely needed for basic living expenses. With medical campaigns being a top category among crowdfunding appeals, it's "a lot of money that's exchanging hands," Moore says.
The advent of crowdfunding "reveals and, in some ways, reinforces a health care system that is totally broken," says Jessica Pierce, a faculty affiliate in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus in Denver. "The fact that people have to scrounge for money to get life-saving treatment is unethical."
Crowdfunding also highlights socioeconomic and racial disparities by giving an unfair advantage to those who are social-media savvy and capable of crafting a compelling narrative that attracts donors. Privacy issues enter into the picture as well, because telling that narrative entails revealing personal details, Pierce says, particularly when it comes to children, "who may not be able to consent at a really informed level."
CoFund Health, the crowdfunding site on which Anderson raised the money for his plastic surgery, offers to help people write their campaigns and copy edit for proper language, says Matthew Martin, co-founder and chief executive officer. Like other crowdfunding sites, it retains a few percent of the donations for each campaign. Martin is the husband of Anderson's acquaintance from high school.
So far, the site, which is based in Raleigh, North Carolina, has hosted about 600 crowdfunding campaigns, some completed and some still in progress. Campaigns have raised as little as $300 to cover immediate dental expenses and as much as $12,000 for cancer treatments, Martin says, but most have set a goal between $5,000 and $10,000.
Whether or not someone's campaign is based on fact or fiction remains for prospective donors to decide.
The services could be cosmetic—for example, a breast enhancement or reduction, laser procedures for the eyes or skin, and chiropractic care. A number of campaigns have sought funding for transgender surgeries, which many insurers consider optional, he says.
In July 2019, a second site was hatched out of pet owners' requests for assistance with their dogs' and cats' medical expenses. Money raised on CoFund My Pet can only be used at veterinary clinics. Martin says the debit card would be declined at other merchants, just as its CoFund Health counterpart for humans will be rejected at places other than health care facilities, dental and vision providers, and pharmacies.
Whether or not someone's campaign is based on fact or fiction remains for prospective donors to decide. If a donor were to regret a transaction, he says the site would reach out to the campaign's owner but ultimately couldn't force a refund, Martin explains, because "it's hard to chase down fraud without having access to people's health records."
In some crowdfunding campaigns, the individual needs some or all the donated resources to pay for travel and lodging at faraway destinations to receive care, says Snyder, the health sciences professor and crowdfunding report author. He suggests people only give to recipients they know personally.
"That may change the calculus a little bit," tipping the decision in favor of donating, he says. As long as the treatment isn't harmful, the funds are a small gesture of support. "There's some value in that for preserving hope or just showing them that you care."
Researchers probe extreme gene therapy for severe alcoholism
Story by Freethink
A single shot — a gene therapy injected into the brain — dramatically reduced alcohol consumption in monkeys that previously drank heavily. If the therapy is safe and effective in people, it might one day be a permanent treatment for alcoholism for people with no other options.
The challenge: Alcohol use disorder (AUD) means a person has trouble controlling their alcohol consumption, even when it is negatively affecting their life, job, or health.
In the U.S., more than 10 percent of people over the age of 12 are estimated to have AUD, and while medications, counseling, or sheer willpower can help some stop drinking, staying sober can be a huge struggle — an estimated 40-60 percent of people relapse at least once.
A team of U.S. researchers suspected that an in-development gene therapy for Parkinson’s disease might work as a dopamine-replenishing treatment for alcoholism, too.
According to the CDC, more than 140,000 Americans are dying each year from alcohol-related causes, and the rate of deaths has been rising for years, especially during the pandemic.
The idea: For occasional drinkers, alcohol causes the brain to release more dopamine, a chemical that makes you feel good. Chronic alcohol use, however, causes the brain to produce, and process, less dopamine, and this persistent dopamine deficit has been linked to alcohol relapse.
There is currently no way to reverse the changes in the brain brought about by AUD, but a team of U.S. researchers suspected that an in-development gene therapy for Parkinson’s disease might work as a dopamine-replenishing treatment for alcoholism, too.
To find out, they tested it in heavy-drinking monkeys — and the animals’ alcohol consumption dropped by 90% over the course of a year.
How it works: The treatment centers on the protein GDNF (“glial cell line-derived neurotrophic factor”), which supports the survival of certain neurons, including ones linked to dopamine.
For the new study, a harmless virus was used to deliver the gene that codes for GDNF into the brains of four monkeys that, when they had the option, drank heavily — the amount of ethanol-infused water they consumed would be equivalent to a person having nine drinks per day.
“We targeted the cell bodies that produce dopamine with this gene to increase dopamine synthesis, thereby replenishing or restoring what chronic drinking has taken away,” said co-lead researcher Kathleen Grant.
To serve as controls, another four heavy-drinking monkeys underwent the same procedure, but with a saline solution delivered instead of the gene therapy.
The results: All of the monkeys had their access to alcohol removed for two months following the surgery. When it was then reintroduced for four weeks, the heavy drinkers consumed 50 percent less compared to the control group.
When the researchers examined the monkeys’ brains at the end of the study, they were able to confirm that dopamine levels had been replenished in the treated animals, but remained low in the controls.
The researchers then took the alcohol away for another four weeks, before giving it back for four. They repeated this cycle for a year, and by the end of it, the treated monkeys’ consumption had fallen by more than 90 percent compared to the controls.
“Drinking went down to almost zero,” said Grant. “For months on end, these animals would choose to drink water and just avoid drinking alcohol altogether. They decreased their drinking to the point that it was so low we didn’t record a blood-alcohol level.”
When the researchers examined the monkeys’ brains at the end of the study, they were able to confirm that dopamine levels had been replenished in the treated animals, but remained low in the controls.
Looking ahead: Dopamine is involved in a lot more than addiction, so more research is needed to not only see if the results translate to people but whether the gene therapy leads to any unwanted changes to mood or behavior.
Because the therapy requires invasive brain surgery and is likely irreversible, it’s unlikely to ever become a common treatment for alcoholism — but it could one day be the only thing standing between people with severe AUD and death.
“[The treatment] would be most appropriate for people who have already shown that all our normal therapeutic approaches do not work for them,” said Grant. “They are likely to create severe harm or kill themselves or others due to their drinking.”
This article originally appeared on Freethink, home of the brightest minds and biggest ideas of all time.
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?
The recent explosion of generative artificial intelligence tools like ChatGPT and Dall-E enabled anyone with internet access to harness AI’s power for enhanced productivity, creativity, and problem-solving. With their ever-improving capabilities and expanding user base, these tools proved useful across disciplines, from the creative to the scientific.
But beneath the technological wonders of human-like conversation and creative expression lies a dirty secret—an alarming environmental and human cost. AI has an immense carbon footprint. Systems like ChatGPT take months to train in high-powered data centers, which demand huge amounts of electricity, much of which is still generated with fossil fuels, as well as water for cooling. “One of the reasons why Open AI needs investments [to the tune of] $10 billion from Microsoft is because they need to pay for all of that computation,” says Kentaro Toyama, a computer scientist at the University of Michigan. There’s also an ecological toll from mining rare minerals required for hardware and infrastructure. This environmental exploitation pollutes land, triggers natural disasters and causes large-scale human displacement. Finally, for data labeling needed to train and correct AI algorithms, the Big Data industry employs cheap and exploitative labor, often from the Global South.
Generative AI tools are based on large language models (LLMs), with most well-known being various versions of GPT. LLMs can perform natural language processing, including translating, summarizing and answering questions. They use artificial neural networks, called deep learning or machine learning. Inspired by the human brain, neural networks are made of millions of artificial neurons. “The basic principles of neural networks were known even in the 1950s and 1960s,” Toyama says, “but it’s only now, with the tremendous amount of compute power that we have, as well as huge amounts of data, that it’s become possible to train generative AI models.”
Though there aren’t any official figures about the power consumption or emissions from data centers, experts estimate that they use one percent of global electricity—more than entire countries.
In recent months, much attention has gone to the transformative benefits of these technologies. But it’s important to consider that these remarkable advances may come at a price.
AI’s carbon footprint
In their latest annual report, 2023 Landscape: Confronting Tech Power, the AI Now Institute, an independent policy research entity focusing on the concentration of power in the tech industry, says: “The constant push for scale in artificial intelligence has led Big Tech firms to develop hugely energy-intensive computational models that optimize for ‘accuracy’—through increasingly large datasets and computationally intensive model training—over more efficient and sustainable alternatives.”
Though there aren’t any official figures about the power consumption or emissions from data centers, experts estimate that they use one percent of global electricity—more than entire countries. In 2019, Emma Strubell, then a graduate researcher at the University of Massachusetts Amherst, estimated that training a single LLM resulted in over 280,000 kg in CO2 emissions—an equivalent of driving almost 1.2 million km in a gas-powered car. A couple of years later, David Patterson, a computer scientist from the University of California Berkeley, and colleagues, estimated GPT-3’s carbon footprint at over 550,000 kg of CO2 In 2022, the tech company Hugging Face, estimated the carbon footprint of its own language model, BLOOM, as 25,000 kg in CO2 emissions. (BLOOM’s footprint is lower because Hugging Face uses renewable energy, but it doubled when other life-cycle processes like hardware manufacturing and use were added.)
Luckily, despite the growing size and numbers of data centers, their increasing energy demands and emissions have not kept pace proportionately—thanks to renewable energy sources and energy-efficient hardware.
But emissions don’t tell the full story.
AI’s hidden human cost
“If historical colonialism annexed territories, their resources, and the bodies that worked on them, data colonialism’s power grab is both simpler and deeper: the capture and control of human life itself through appropriating the data that can be extracted from it for profit.” So write Nick Couldry and Ulises Mejias, authors of the book The Costs of Connection.
The energy requirements, hardware manufacture and the cheap human labor behind AI systems disproportionately affect marginalized communities.
Technologies we use daily inexorably gather our data. “Human experience, potentially every layer and aspect of it, is becoming the target of profitable extraction,” Couldry and Meijas say. This feeds data capitalism, the economic model built on the extraction and commodification of data. While we are being dispossessed of our data, Big Tech commodifies it for their own benefit. This results in consolidation of power structures that reinforce existing race, gender, class and other inequalities.
“The political economy around tech and tech companies, and the development in advances in AI contribute to massive displacement and pollution, and significantly changes the built environment,” says technologist and activist Yeshi Milner, who founded Data For Black Lives (D4BL) to create measurable change in Black people’s lives using data. The energy requirements, hardware manufacture and the cheap human labor behind AI systems disproportionately affect marginalized communities.
AI’s recent explosive growth spiked the demand for manual, behind-the-scenes tasks, creating an industry described by Mary Gray and Siddharth Suri as “ghost work” in their book. This invisible human workforce that lies behind the “magic” of AI, is overworked and underpaid, and very often based in the Global South. For example, workers in Kenya who made less than $2 an hour, were the behind the mechanism that trained ChatGPT to properly talk about violence, hate speech and sexual abuse. And, according to an article in Analytics India Magazine, in some cases these workers may not have been paid at all, a case for wage theft. An exposé by the Washington Post describes “digital sweatshops” in the Philippines, where thousands of workers experience low wages, delays in payment, and wage theft by Remotasks, a platform owned by Scale AI, a $7 billion dollar American startup. Rights groups and labor researchers have flagged Scale AI as one company that flouts basic labor standards for workers abroad.
It is possible to draw a parallel with chattel slavery—the most significant economic event that continues to shape the modern world—to see the business structures that allow for the massive exploitation of people, Milner says. Back then, people got chocolate, sugar, cotton; today, they get generative AI tools. “What’s invisible through distance—because [tech companies] also control what we see—is the massive exploitation,” Milner says.
“At Data for Black Lives, we are less concerned with whether AI will become human…[W]e’re more concerned with the growing power of AI to decide who’s human and who’s not,” Milner says. As a decision-making force, AI becomes a “justifying factor for policies, practices, rules that not just reinforce, but are currently turning the clock back generations years on people’s civil and human rights.”
Ironically, AI plays an important role in mitigating its own harms—by plowing through mountains of data about weather changes, extreme weather events and human displacement.
Nuria Oliver, a computer scientist, and co-founder and vice-president of the European Laboratory of Learning and Intelligent Systems (ELLIS), says that instead of focusing on the hypothetical existential risks of today’s AI, we should talk about its real, tangible risks.
“Because AI is a transverse discipline that you can apply to any field [from education, journalism, medicine, to transportation and energy], it has a transformative power…and an exponential impact,” she says.
AI's accountability
“At the core of what we were arguing about data capitalism [is] a call to action to abolish Big Data,” says Milner. “Not to abolish data itself, but the power structures that concentrate [its] power in the hands of very few actors.”
A comprehensive AI Act currently negotiated in the European Parliament aims to rein Big Tech in. It plans to introduce a rating of AI tools based on the harms caused to humans, while being as technology-neutral as possible. That sets standards for safe, transparent, traceable, non-discriminatory, and environmentally friendly AI systems, overseen by people, not automation. The regulations also ask for transparency in the content used to train generative AIs, particularly with copyrighted data, and also disclosing that the content is AI-generated. “This European regulation is setting the example for other regions and countries in the world,” Oliver says. But, she adds, such transparencies are hard to achieve.
Google, for example, recently updated its privacy policy to say that anything on the public internet will be used as training data. “Obviously, technology companies have to respond to their economic interests, so their decisions are not necessarily going to be the best for society and for the environment,” Oliver says. “And that’s why we need strong research institutions and civil society institutions to push for actions.” ELLIS also advocates for data centers to be built in locations where the energy can be produced sustainably.
Ironically, AI plays an important role in mitigating its own harms—by plowing through mountains of data about weather changes, extreme weather events and human displacement. “The only way to make sense of this data is using machine learning methods,” Oliver says.
Milner believes that the best way to expose AI-caused systemic inequalities is through people's stories. “In these last five years, so much of our work [at D4BL] has been creating new datasets, new data tools, bringing the data to life. To show the harms but also to continue to reclaim it as a tool for social change and for political change.” This change, she adds, will depend on whose hands it is in.