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.
New approach to brain health is sparking memories
What if a few painless electrical zaps to your brain could help you recall names, perform better on Wordle or even ward off dementia?
This is where neuroscientists are going in efforts to stave off age-related memory loss as well as Alzheimer’s disease. Medications have shown limited effectiveness in reversing or managing loss of brain function so far. But new studies suggest that firing up an aging neural network with electrical or magnetic current might keep brains spry as we age.
Welcome to non-invasive brain stimulation (NIBS). No surgery or anesthesia is required. One day, a jolt in the morning with your own battery-operated kit could replace your wake-up coffee.
Scientists believe brain circuits tend to uncouple as we age. Since brain neurons communicate by exchanging electrical impulses with each other, the breakdown of these links and associations could be what causes the “senior moment”—when you can’t remember the name of the movie you just watched.
In 2019, Boston University researchers led by Robert Reinhart, director of the Cognitive and Clinical Neuroscience Laboratory, showed that memory loss in healthy older adults is likely caused by these disconnected brain networks. When Reinhart and his team stimulated two key areas of the brain with mild electrical current, they were able to bring the brains of older adult subjects back into sync — enough so that their ability to remember small differences between two images matched that of much younger subjects for at least 50 minutes after the testing stopped.
Reinhart wowed the neuroscience community once again this fall. His newer study in Nature Neuroscience presented 150 healthy participants, ages 65 to 88, who were able to recall more words on a given list after 20 minutes of low-intensity electrical stimulation sessions over four consecutive days. This amounted to a 50 to 65 percent boost in their recall.
Even Reinhart was surprised to discover the enhanced performance of his subjects lasted a full month when they were tested again later. Those who benefited most were the participants who were the most forgetful at the start.
An older person participates in Robert Reinhart's research on brain stimulation.
Robert Reinhart
Reinhart’s subjects only suffered normal age-related memory deficits, but NIBS has great potential to help people with cognitive impairment and dementia, too, says Krista Lanctôt, the Bernick Chair of Geriatric Psychopharmacology at Sunnybrook Health Sciences Center in Toronto. Plus, “it is remarkably safe,” she says.
Lanctôt was the senior author on a meta-analysis of brain stimulation studies published last year on people with mild cognitive impairment or later stages of Alzheimer’s disease. The review concluded that magnetic stimulation to the brain significantly improved the research participants’ neuropsychiatric symptoms, such as apathy and depression. The stimulation also enhanced global cognition, which includes memory, attention, executive function and more.
This is the frontier of neuroscience.
The two main forms of NIBS – and many questions surrounding them
There are two types of NIBS. They differ based on whether electrical or magnetic stimulation is used to create the electric field, the type of device that delivers the electrical current and the strength of the current.
Transcranial Current Brain Stimulation (tES) is an umbrella term for a group of techniques using low-wattage electrical currents to manipulate activity in the brain. The current is delivered to the scalp or forehead via electrodes attached to a nylon elastic cap or rubber headband.
Variations include how the current is delivered—in an alternating pattern or in a constant, direct mode, for instance. Tweaking frequency, potency or target brain area can produce different effects as well. Reinhart’s 2022 study demonstrated that low or high frequencies and alternating currents were uniquely tied to either short-term or long-term memory improvements.
Sessions may be 20 minutes per day over the course of several days or two weeks. “[The subject] may feel a tingling, warming, poking or itching sensation,” says Reinhart, which typically goes away within a minute.
The other main approach to NIBS is Transcranial Magnetic Simulation (TMS). It involves the use of an electromagnetic coil that is held or placed against the forehead or scalp to activate nerve cells in the brain through short pulses. The stimulation is stronger than tES but similar to a magnetic resonance imaging (MRI) scan.
The subject may feel a slight knocking or tapping on the head during a 20-to-60-minute session. Scalp discomfort and headaches are reported by some; in very rare cases, a seizure can occur.
No head-to-head trials have been conducted yet to evaluate the differences and effectiveness between electrical and magnetic current stimulation, notes Lanctôt, who is also a professor of psychiatry and pharmacology at the University of Toronto. Although TMS was approved by the FDA in 2008 to treat major depression, both techniques are considered experimental for the purpose of cognitive enhancement.
“One attractive feature of tES is that it’s inexpensive—one-fifth the price of magnetic stimulation,” Reinhart notes.
Don’t confuse either of these procedures with the horrors of electroconvulsive therapy (ECT) in the 1950s and ‘60s. ECT is a more powerful, riskier procedure used only as a last resort in treating severe mental illness today.
Clinical studies on NIBS remain scarce. Standardized parameters and measures for testing have not been developed. The high heterogeneity among the many existing small NIBS studies makes it difficult to draw general conclusions. Few of the studies have been replicated and inconsistencies abound.
Scientists are still lacking so much fundamental knowledge about the brain and how it works, says Reinhart. “We don’t know how information is represented in the brain or how it’s carried forward in time. It’s more complex than physics.”
Lanctôt’s meta-analysis showed improvements in global cognition from delivering the magnetic form of the stimulation to people with Alzheimer’s, and this finding was replicated inan analysis in the Journal of Prevention of Alzheimer’s Disease this fall. Neither meta-analysis found clear evidence that applying the electrical currents, was helpful for Alzheimer’s subjects, but Lanctôt suggests this might be merely because the sample size for tES was smaller compared to the groups that received TMS.
At the same time, London neuroscientist Marco Sandrini, senior lecturer in psychology at the University of Roehampton, critically reviewed a series of studies on the effects of tES on episodic memory. Often declining with age, episodic memory relates to recalling a person’s own experiences from the past. Sandrini’s review concluded that delivering tES to the prefrontal or temporoparietal cortices of the brain might enhance episodic memory in older adults with Alzheimer’s disease and amnesiac mild cognitive impairment (the predementia phase of Alzheimer’s when people start to have symptoms).
Researchers readily tick off studies needed to explore, clarify and validate existing NIBS data. What is the optimal stimulus session frequency, spacing and duration? How intense should the stimulus be and where should it be targeted for what effect? How might genetics or degree of brain impairment affect responsiveness? Would adjunct medication or cognitive training boost positive results? Could administering the stimulus while someone sleeps expedite memory consolidation?
Using MRI or another brain scan along with computational modeling of the current flow, a clinician could create a treatment that is customized to each person’s brain.
While Sandrini’s review reported improvements induced by tES in the recall or recognition of words and images, there is no evidence it will translate into improvements in daily activities. This is another question that will require more research and testing, Sandrini notes.
Scientists are still lacking so much fundamental knowledge about the brain and how it works, says Reinhart. “We don’t know how information is represented in the brain or how it’s carried forward in time. It’s more complex than physics.”
Where the science is headed
Learning how to apply precision medicine to NIBS is the next focus in advancing this technology, says Shankar Tumati, a post-doctoral fellow working with Lanctôt.
There is great variability in each person’s brain anatomy—the thickness of the skull, the brain’s unique folds, the amount of cerebrospinal fluid. All of these structural differences impact how electrical or magnetic stimulation is distributed in the brain and ultimately the effects.
Using MRI or another brain scan along with computational modeling of the current flow, a clinician could create a treatment that is customized to each person’s brain, from where to put the electrodes to determining the exact dose and duration of stimulation needed to achieve lasting results, Sandrini says.
Above all, most neuroscientists say that largescale research studies over long periods of time are necessary to confirm the safety and durability of this therapy for the purpose of boosting memory. Short of that, there can be no FDA approval or medical regulation for this clinical use.
Lanctôt urges people to seek out clinical NIBS trials in their area if they want to see the science advance. “That is how we’ll find the answers,” she says, predicting it will be 5 to 10 years to develop each additional clinical application of NIBS. Ultimately, she predicts that reigning in Alzheimer’s disease and mild cognitive impairment will require a multi-pronged approach that includes lifestyle and medications, too.
Sandrini believes that scientific efforts should focus on preventing or delaying Alzheimer’s. “We need to start intervention earlier—as soon as people start to complain about forgetting things,” he says. “Changes in the brain start 10 years before [there is a problem]. Once Alzheimer’s develops, it is too late.”
Will religious people reject organ transplants from pigs?
The first successful recipient of a human heart transplant lived 18 days. The first artificial heart recipient lived just over 100.
Their brief post-transplant lives paved the way toward vastly greater successes. Former Vice President Dick Cheney relied on an artificial heart for nearly two years before receiving a human heart transplant. It still beats in his chest more than a decade later.
Organ transplantation recently reached its next phase with David Bennett. He survived for two months after becoming the first recipient of a pig’s heart genetically modified to function in a human body in February. Known as a xenotransplant, the procedure could pave the way for greatly expanding the use of transplanted vital organs to extend human lives.
Clinical trials would have to be held in the U.S. before xenotransplants become widespread; Bennett’s surgery was authorized under a special Food and Drug Administration program that addresses patients with life-threatening medical conditions.
German researchers plan to perform eight pig-to-human heart transplants as part of a clinical trial beginning in 2024. According to an email sent to Leaps.org by three scholars working on the German project, these procedures will focus on one of the reasons David Bennett did not survive longer: A porcine infection from his new heart.
The transplant team will conduct more sensitive testing of the donor organs, “which in all likelihood will be able to detect even low levels of virus in the xenograft,” note the scientists, Katharina Ebner, Jochen Ostheimer and Jochen Sautermeister. They are confident that the risk of infection with a porcine virus in the future will be significantly lower.
Moreover, hearts are not the only genetically modified organs that are being xenotransplanted. A team of surgeons at the University of Alabama at Birmingham successfully transplanted genetically modified pig kidneys into a brain-dead human recipient in September. The kidneys functioned normally for more than three days before the experiment ended. The UAB team is now moving forward with clinical trials focusing on transplanting pig kidneys into human patients.
Some experts believe the momentum for xenotransplantation is building, particularly given the recent successes. “I think there is a strong likelihood this will go mainstream,” says Brendan Parent of NYU Langone Health.
Douglas Anderson, a surgeon who is part of that kidney xenotransplant team, observes that, “organ shortages have been the major issue facing transplantation since its inception” and that xenotransplantation is a potential solution to that quandary. “It can’t be understated the number of people waiting for a kidney on dialysis, which has a significant mortality rate,” he says. According to the advocacy group Donate Life America, more than 100,000 people in the U.S. alone are waiting for a donated organ, and 85 percent of them need a kidney.
Other experts believe the momentum for xenotransplantation is building, particularly given the recent successes. “I think there is a strong likelihood this will go mainstream,” says Brendan Parent, director of transplant ethics and policy at NYU Langone Health, a New York City-based hospital system. Like the UAB team, surgeons at NYU Langone have had success coaxing modified pig kidneys to work in deceased humans.
“There is a genuinely good chance that within a generation, (xenotransplantation) might become very common in reasonably wealthy countries,” says Michael Reiss, professor of science education at University College in London. In addition to his academic position, Reiss sits on the Nuffield Council on Bioethics, a nonprofit that is one of Britain’s most prominent watchdogs regarding medical and scientific issues. Reiss is also an Anglican priest and has studied xenotransplantation from both a scientific and religious point of view.
Moreover, genetic modifications could one day lead to organs being specifically optimized for their recipients. That could ensure issues like donor rejection and the calculated risk of artificially suppressing recipient immune systems become concerns of the past.
Major bioethical, religious concerns
Despite the promise of xenotransplantation, numerous bioethical issues swirl around the procedure. They could be magnified if xenotransplantation evolves from one-off experiments to a routine medical procedure.
One of the biggest is the millennia-long prohibitions Islam and Judaism have had regarding the consumption of pork. Will followers of these religions assume such rules extend to those taboo materials being inserted into a human body?
“Initially, one’s instinctual reaction is that, oh, crumbs! – how are Jews and Muslims going to react to that?” Reiss says. But in a world where science and secularism are accepted on an everyday basis, he notes it is not a significant issue. Reiss points out that valves from pig hearts have been used in human patients for decades without any issues. He adds that both Islam and Judaism waive religious dietary restrictions if a human life is at risk.
“While nobody's saying an individual patient is to be forced to have these, the very high proportion of people who identify as Jews or Muslims when given this option are content with it,” he says.
Concurring with Reiss is Michael Gusamano, professor of health policy at Lehigh University and director of its Center for Ethics. He is currently performing research on the ethics of xenotransplantation for the National Institutes of Health.
“Leaders from all major religions have commented on this and have indicated that this is not inconsistent with religious doctrine,” Gusamano says in written remarks to Leaps.org. “Having said that, it is plausible to believe that some people will assume that this is inconsistent with the teaching of their religion and may object to…receiving a xenotransplant as part of routine medical care.”
A history of clashes
Despite those assurances, science has long clashed with theology. Although Galileo proved the planets revolved around the sun, the Catholic Church found him guilty of heresy and rewarded his discovery with house arrest for the last decade of his life. A revolt occurred in mid-19th century India after native-born soldiers believed the ammunition supplied by their British occupiers had been lubricated with pork and beef tallow. Given they had to use their mouths to tear open ammunition pouches, this violated both the tenets of Islam and Hinduism. And one of the conspiracy theories hatched as a result of COVID-19 was that the vaccines developed to fight the disease were the “mark of the beast” – a sign of impending Armageddon under evangelical Christian theology.
The German xenotransplant research team has encountered such potential concerns when the procedure is regarded through a religious lens. “The pastors in our research suspected that many recipients might feel disgust and revulsion,” they write. “Even beyond these special religious reservations, cultural scripts about pigs as inferior living beings are also generally widespread and effective in the western world, so that here too possible disgust reactions cannot be ruled out.”
The German researchers add that “Jewish and Muslim hospital pastoral workers believe possible considerable problems in this respect, which must be dealt with psychosocially, religiously, and pastorally prior to a possible transplantation in order to strengthen the acceptance of the received organ by the patients and their relatives.”
Parent, the director at NYU Langone, shares a concern that xenotransplantation could move “too fast,” although much of his worry is focused on zoonotic disease transmission – pig viruses jumping into humans as a result of such procedures.
Another ethical issue
Moreover, the way pigs and other animals are raised for transplants could pose future ethical dilemmas.
Reiss notes that pigs raised for medical procedures have to be grown and kept in what are known as a designated pathogen-free facility, or DPF. Such facilities are kept painstakingly antiseptic so as to minimize the risk of zoonotic transmissions. But given pigs are fond of outdoor activities such as wallowing in mud and sleeping on hay, they lead “stunningly boring lives” that they probably do not enjoy, Reiss observes.
Ethical concerns with using pigs may push transplantation medicine into its next logical phase: Growing functional organs for transplant in a laboratory setting.
“There’s no doubt that these research pigs have gotten much better veterinary care, et cetera, (compared to farmed pigs). But it’s not a great life,” Reiss says. “And although it hasn’t so far dominated the discussion, I think as the years go by, rather as we’ve seen with the use of apes and now monkeys in medical research, more and more theologians will get uncomfortable about us just assuming we can do this with…pigs.”
The German research team raises the same concerns, but has taken a fairly sanguine view on the topic. “The impairments of the species-typical behavior will certainly provoke criticism and perhaps also public protest. But the number of animals affected is very small in relation to slaughter cattle,” the German researchers note. “Moreover, the conditions there and also in several animal experiments are far worse.”
Observers say that may push transplantation medicine into its next logical phase: Growing functional organs for transplant in a laboratory setting. Anderson, the UAB transplant surgeon, believes such an accomplishment remains decades away.
But other experts believe there is a moral imperative that xenotransplantation remain a temporary solution. “I think we have a duty to go in that direction,” Parent says. “We have to go that way, with the xenotransplantation process (as) a steppingstone and research path that will be useful for bioengineered organs.”