The New Prospective Parenthood: When Does More Info Become Too Much?
Peggy Clark was 12 weeks pregnant when she went in for a nuchal translucency (NT) scan to see whether her unborn son had Down syndrome. The sonographic scan measures how much fluid has accumulated at the back of the baby's neck: the more fluid, the higher the likelihood of an abnormality. The technician said the baby was in such an odd position, the test couldn't be done. Clark, whose name has been changed to protect her privacy, was told to come back in a week and a half to see if the baby had moved.
"With the growing sophistication of prenatal tests, it seems that the more questions are answered, the more new ones arise."
"It was like the baby was saying, 'I don't want you to know,'" she recently recalled.
When they went back, they found the baby had a thickened neck. It's just one factor in identifying Down's, but it's a strong indication. At that point, she was 13 weeks and four days pregnant. She went to the doctor the next day for a blood test. It took another two weeks for the results, which again came back positive, though there was still a .3% margin of error. Clark said she knew she wanted to terminate the pregnancy if the baby had Down's, but she didn't want the guilt of knowing there was a small chance the tests were wrong. At that point, she was too late to do a Chorionic villus sampling (CVS), when chorionic villi cells are removed from the placenta and sequenced. And she was too early to do an amniocentesis, which isn't done until between 14 and 20 weeks of the pregnancy. So she says she had to sit and wait, calling those few weeks "brutal."
By the time they did the amnio, she was already nearly 18 weeks pregnant and was getting really big. When that test also came back positive, she made the anguished decision to end the pregnancy.
Now, three years after Clark's painful experience, a newer form of prenatal testing routinely gives would-be parents more information much earlier on, especially for women who are over 35. As soon as nine weeks into their pregnancies, women can have a simple blood test to determine if there are abnormalities in the DNA of chromosomes 21, which indicates Down syndrome, as well as in chromosomes 13 and 18. Using next-generation sequencing technologies, the test separates out and examines circulating fetal cells in the mother's blood, which eliminates the risks of drawing fluid directly from the fetus or placenta.
"Finding out your baby has Down syndrome at 11 or 12 weeks is much easier for parents to make any decision they may want to make, as opposed to 16 or 17 weeks," said Dr. Leena Nathan, an obstetrician-gynecologist in UCLA's healthcare system. "People are much more willing or able to perhaps make a decision to terminate the pregnancy."
But with the growing sophistication of prenatal tests, it seems that the more questions are answered, the more new ones arise--questions that previous generations have never had to face. And as genomic sequencing improves in its predictive accuracy at the earliest stages of life, the challenges only stand to increase. Imagine, for example, learning your child's lifetime risk of breast cancer when you are ten weeks pregnant. Would you terminate if you knew she had a 70 percent risk? What about 40 percent? Lots of hard questions. Few easy answers. Once the cost of whole genome sequencing drops low enough, probably within the next five to ten years according to experts, such comprehensive testing may become the new standard of care. Welcome to the future of prospective parenthood.
"In one way, it's a blessing to have this information. On the other hand, it's very difficult to deal with."
How Did We Get Here?
Prenatal testing is not new. In 1979, amniocentesis was used to detect whether certain inherited diseases had been passed on to the fetus. Through the 1980s, parents could be tested to see if they carried disease like Tay-Sachs, Sickle cell anemia, Cystic fibrosis and Duchenne muscular dystrophy. By the early 1990s, doctors could test for even more genetic diseases and the CVS test was beginning to become available.
A few years later, a technique called preimplantation genetic diagnosis (PGD) emerged, in which embryos created in a lab with sperm and harvested eggs would be allowed to grow for several days and then cells would be removed and tested to see if any carried genetic diseases. Those that weren't affected could be transferred back to the mother. Once in vitro fertilization (IVF) took off, so did genetic testing. The labs test the embryonic cells and get them back to the IVF facilities within 24 hours so that embryo selection can occur. In the case of IVF, genetic tests are done so early, parents don't even have to decide whether to terminate a pregnancy. Embryos with issues often aren't even used.
"It was a very expensive endeavor but exciting to see our ability to avoid disorders, especially for families that don't want to terminate a pregnancy," said Sara Katsanis, an expert in genetic testing who teaches at Duke University. "In one way, it's a blessing to have this information (about genetic disorders). On the other hand, it's very difficult to deal with. To make that decision about whether to terminate a pregnancy is very hard."
Just Because We Can, Does It Mean We Should?
Parents in the future may not only find out whether their child has a genetic disease but will be able to potentially fix the problem through a highly controversial process called gene editing. But because we can, does it mean we should? So far, genes have been edited in other species, but to date, the procedure has not been used on an unborn child for reproductive purposes apart from research.
"There's a lot of bioethics debate and convening of groups to try to figure out where genetic manipulation is going to be useful and necessary, and where it is going to need some restrictions," said Katsanis. She notes that it's very useful in areas like cancer research, so one wouldn't want to over-regulate it.
There are already some criteria as to which genes can be manipulated and which should be left alone, said Evan Snyder, professor and director of the Center for Stem Cells and Regenerative Medicine at Sanford Children's Health Research Center in La Jolla, Calif. He noted that genes don't stand in isolation. That is, if you modify one that causes disease, will it disrupt others? There may be unintended consequences, he added.
"As the technical dilemmas get fixed, some of the ethical dilemmas get fixed. But others arise. It's kind of like ethical whack-a-mole."
But gene editing of embryos may take years to become an acceptable practice, if ever, so a more pressing issue concerns the rationale behind embryo selection during IVF. Prospective parents can end up with anywhere from zero to thirty embryos from the procedure and must choose only one (rarely two) to implant. Since embryos are routinely tested now for certain diseases, and selected or discarded based on that information, should it be ethical—and legal—to make selections based on particular traits, too? To date so far, parents can select for gender, but no other traits. Whether trait selection becomes routine is a matter of time and business opportunity, Katsanis said. So far, the old-fashioned way of making a baby combined with the luck of the draw seems to be the preferred method for the marketplace. But that could change.
"You can easily see a family deciding not to implant a lethal gene for Tay-Sachs or Duchene or Cystic fibrosis. It becomes more ethically challenging when you make a decision to implant girls and not any of the boys," said Snyder. "And then as we get better and better, we can start assigning genes to certain skills and this starts to become science fiction."
Once a pregnancy occurs, prospective parents of all stripes will face decisions about whether to keep the fetus based on the information that increasingly robust prenatal testing will provide. What influences their decision is the crux of another ethical knot, said Snyder. A clear-cut rationale would be if the baby is anencephalic, or it has no brain. A harder one might be, "It's a girl, and I wanted a boy," or "The child will only be 5' 2" tall in adulthood."
"Those are the extremes, but the ultimate question is: At what point is it a legitimate response to say, I don't want to keep this baby?'" he said. Of course, people's responses will vary, so the bigger conundrum for society is: Where should a line be drawn—if at all? Should a woman who is within the legal scope of termination (up to around 24 weeks, though it varies by state) be allowed to terminate her pregnancy for any reason whatsoever? Or must she have a so-called "legitimate" rationale?
"As the technical dilemmas get fixed, some of the ethical dilemmas get fixed. But others arise. It's kind of like ethical whack-a-mole," Snyder said.
One of the newer moles to emerge is, if one can fix a damaged gene, for how long should it be fixed? In one child? In the family's whole line, going forward? If the editing is done in the embryo right after the egg and sperm have united and before the cells begin dividing and becoming specialized, when, say, there are just two or four cells, it will likely affect that child's entire reproductive system and thus all of that child's progeny going forward.
"This notion of changing things forever is a major debate," Snyder said. "It literally gets into metaphysics. On the one hand, you could say, well, wouldn't it be great to get rid of Cystic fibrosis forever? What bad could come of getting rid of a mutant gene forever? But we're not smart enough to know what other things the gene might be doing, and how disrupting one thing could affect this network."
As with any tool, there are risks and benefits, said Michael Kalichman, Director of the Research Ethics Program at the University of California San Diego. While we can envision diverse benefits from a better understanding of human biology and medicine, it is clear that our species can also misuse those tools – from stigmatizing children with certain genetic traits as being "less than," aka dystopian sci-fi movies like Gattaca, to judging parents for making sure their child carries or doesn't carry a particular trait.
"The best chance to ensure that the benefits of this technology will outweigh the risks," Kalichman said, "is for all stakeholders to engage in thoughtful conversations, strive for understanding of diverse viewpoints, and then develop strategies and policies to protect against those uses that are considered to be problematic."
Awash in a fluid finely calibrated to keep it alive, a human eye rests inside a transparent cubic device. This ECaBox, or Eyes in a Care Box, is a one-of-a-kind system built by scientists at Barcelona’s Centre for Genomic Regulation (CRG). Their goal is to preserve human eyes for transplantation and related research.
In recent years, scientists have learned to transplant delicate organs such as the liver, lungs or pancreas, but eyes are another story. Even when preserved at the average transplant temperature of 4 Centigrade, they last for 48 hours max. That's one explanation for why transplanting the whole eye isn’t possible—only the cornea, the dome-shaped, outer layer of the eye, can withstand the procedure. The retina, the layer at the back of the eyeball that turns light into electrical signals, which the brain converts into images, is extremely difficult to transplant because it's packed with nerve tissue and blood vessels.
These challenges also make it tough to research transplantation. “This greatly limits their use for experiments, particularly when it comes to the effectiveness of new drugs and treatments,” said Maria Pia Cosma, a biologist at Barcelona’s Centre for Genomic Regulation (CRG), whose team is working on the ECaBox.
Eye transplants are desperately needed, but they're nowhere in sight. About 12.7 million people worldwide need a corneal transplant, which means that only one in 70 people who require them, get them. The gaps are international. Eye banks in the United Kingdom are around 20 percent below the level needed to supply hospitals, while Indian eye banks, which need at least 250,000 corneas per year, collect only around 45 to 50 thousand donor corneas (and of those 60 to 70 percent are successfully transplanted).
As for retinas, it's impossible currently to put one into the eye of another person. Artificial devices can be implanted to restore the sight of patients suffering from severe retinal diseases, but the number of people around the world with such “bionic eyes” is less than 600, while in America alone 11 million people have some type of retinal disease leading to severe vision loss. Add to this an increasingly aging population, commonly facing various vision impairments, and you have a recipe for heavy burdens on individuals, the economy and society. In the U.S. alone, the total annual economic impact of vision problems was $51.4 billion in 2017.
Even if you try growing tissues in the petri dish route into organoids mimicking the function of the human eye, you will not get the physiological complexity of the structure and metabolism of the real thing, according to Cosma. She is a member of a scientific consortium that includes researchers from major institutions from Spain, the U.K., Portugal, Italy and Israel. The consortium has received about $3.8 million from the European Union to pursue innovative eye research. Her team’s goal is to give hope to at least 2.2 billion people across the world afflicted with a vision impairment and 33 million who go through life with avoidable blindness.
Their method? Resuscitating cadaveric eyes for at least a month.
If we succeed, it will be the first intact human model of the eye capable of exploring and analyzing regenerative processes ex vivo. -- Maria Pia Cosma.
“We proposed to resuscitate eyes, that is to restore the global physiology and function of human explanted tissues,” Cosma said, referring to living tissues extracted from the eye and placed in a medium for culture. Their ECaBox is an ex vivo biological system, in which eyes taken from dead donors are placed in an artificial environment, designed to preserve the eye’s temperature and pH levels, deter blood clots, and remove the metabolic waste and toxins that would otherwise spell their demise.
Scientists work on resuscitating eyes in the lab of Maria Pia Cosma.
Courtesy of Maria Pia Cosma.
“One of the great challenges is the passage of the blood in the capillary branches of the eye, what we call long-term perfusion,” Cosma said. Capillaries are an intricate network of very thin blood vessels that transport blood, nutrients and oxygen to cells in the body’s organs and systems. To maintain the garland-shaped structure of this network, sufficient amounts of oxygen and nutrients must be provided through the eye circulation and microcirculation. “Our ambition is to combine perfusion of the vessels with artificial blood," along with using a synthetic form of vitreous, or the gel-like fluid that lets in light and supports the the eye's round shape, Cosma said.
The scientists use this novel setup with the eye submersed in its medium to keep the organ viable, so they can test retinal function. “If we succeed, we will ensure full functionality of a human organ ex vivo. It will be the first intact human model of the eye capable of exploring and analyzing regenerative processes ex vivo,” Cosma added.
A rapidly developing field of regenerative medicine aims to stimulate the body's natural healing processes and restore or replace damaged tissues and organs. But for people with retinal diseases, regenerative medicine progress has been painfully slow. “Experiments on rodents show progress, but the risks for humans are unacceptable,” Cosma said.
The ECaBox could boost progress with regenerative medicine for people with retinal diseases, which has been painfully slow because human experiments involving their eyes are too risky. “We will test emerging treatments while reducing animal research, and greatly accelerate the discovery and preclinical research phase of new possible treatments for vision loss at significantly reduced costs,” Cosma explained. Much less time and money would be wasted during the drug discovery process. Their work may even make it possible to transplant the entire eyeball for those who need it.
“It is a very exciting project,” said Sanjay Sharma, a professor of ophthalmology and epidemiology at Queen's University, in Kingston, Canada. “The ability to explore and monitor regenerative interventions will increasingly be of importance as we develop therapies that can regenerate ocular tissues, including the retina.”
Seemingly, there's no sacred religious text or a holy book prohibiting the practice of eye donation.
But is the world ready for eye transplants? “People are a bit weird or very emotional about donating their eyes as compared to other organs,” Cosma said. And much can be said about the problem of eye donor shortage. Concerns include disfigurement and healthcare professionals’ fear that the conversation about eye donation will upset the departed person’s relatives because of cultural or religious considerations. As just one example, Sharma noted the paucity of eye donations in his home country, Canada.
Yet, experts like Sharma stress the importance of these donations for both the recipients and their family members. “It allows them some psychological benefit in a very difficult time,” he said. So why are global eye banks suffering? Is it because the eyes are the windows to the soul?
Seemingly, there's no sacred religious text or a holy book prohibiting the practice of eye donation. In fact, most major religions of the world permit and support organ transplantation and donation, and by extension eye donation, because they unequivocally see it as an “act of neighborly love and charity.” In Hinduism, the concept of eye donation aligns with the Hindu principle of daan or selfless giving, where individuals donate their organs or body after death to benefit others and contribute to society. In Islam, eye donation is a form of sadaqah jariyah, a perpetual charity, as it can continue to benefit others even after the donor's death.
Meanwhile, Buddhist masters teach that donating an organ gives another person the chance to live longer and practice dharma, the universal law and order, more meaningfully; they also dismiss misunderstandings of the type “if you donate an eye, you’ll be born without an eye in the next birth.” And Christian teachings emphasize the values of love, compassion, and selflessness, all compatible with organ donation, eye donation notwithstanding; besides, those that will have a house in heaven, will get a whole new body without imperfections and limitations.
The explanation for people’s resistance may lie in what Deepak Sarma, a professor of Indian religions and philosophy at Case Western Reserve University in Cleveland, calls “street interpretation” of religious or spiritual dogmas. Consider the mechanism of karma, which is about the causal relation between previous and current actions. “Maybe some Hindus believe there is karma in the eyes and, if the eye gets transplanted into another person, they will have to have that karmic card from now on,” Sarma said. “Even if there is peculiar karma due to an untimely death–which might be interpreted by some as bad karma–then you have the karma of the recipient, which is tremendously good karma, because they have access to these body parts, a tremendous gift,” Sarma said. The overall accumulation is that of good karma: “It’s a beautiful kind of balance,” Sarma said.
For the Jews, Christians, and Muslims who believe in the physical resurrection of the body that will be made new in an afterlife, the already existing body is sacred since it will be the basis of a new refashioned body in an afterlife.---Omar Sultan Haque.
With that said, Sarma believes it is a fallacy to personify or anthropomorphize the eye, which doesn’t have a soul, and stresses that the karma attaches itself to the soul and not the body parts. But for scholars like Omar Sultan Haque—a psychiatrist and social scientist at Harvard Medical School, investigating questions across global health, anthropology, social psychology, and bioethics—the hierarchy of sacredness of body parts is entrenched in human psychology. You cannot equate the pinky toe with the face, he explained.
“The eyes are the window to the soul,” Haque said. “People have a hierarchy of body parts that are considered more sacred or essential to the self or soul, such as the eyes, face, and brain.” In his view, the techno-utopian transhumanist communities (especially those in Silicon Valley) have reduced the totality of a person to a mere material object, a “wet robot” that knows no sacredness or hierarchy of human body parts. “But for the Jews, Christians, and Muslims who believe in the physical resurrection of the body that will be made new in an afterlife, the [already existing] body is sacred since it will be the basis of a new refashioned body in an afterlife,” Haque said. “You cannot treat the body like any old material artifact, or old chair or ragged cloth, just because materialistic, secular ideologies want so,” he continued.
For Cosma and her peers, however, the very definition of what is alive or not is a bit semantic. “As soon as we die, the electrophysiological activity in the eye stops,” she said. “The goal of the project is to restore this activity as soon as possible before the highly complex tissue of the eye starts degrading.” Cosma’s group doesn’t yet know when they will be able to keep the eyes alive and well in the ECaBox, but the consensus is that the sooner the better. Hopefully, the taboos and fears around the eye donations will dissipate around the same time.
As Our AI Systems Get Better, So Must We
As the power and capability of our AI systems increase by the day, the essential question we now face is what constitutes peak human. If we stay where we are while the AI systems we are unleashing continually get better, they will meet and then exceed our capabilities in an ever-growing number of domains. But while some technology visionaries like Elon Musk call for us to slow down the development of AI systems to buy time, this approach alone will simply not work in our hyper-competitive world, particularly when the potential benefits of AI are so great and our frameworks for global governance are so weak. In order to build the future we want, we must also become ever better humans.
The list of activities we once saw as uniquely human where AIs have now surpassed us is long and growing. First, AI systems could beat our best chess players, then our best Go players, then our best champions of multi-player poker. They can see patterns far better than we can, generate medical and other hypotheses most human specialists miss, predict and map out new cellular structures, and even generate beautiful, and, yes, creative, art.
A recent paper by Microsoft researchers analyzing the significant leap in capabilities in OpenAI’s latest AI bot, ChatGPT-4, asserted that the algorithm can “solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting.” Calling this functionality “strikingly close to human-level performance,” the authors conclude it “could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system.”
The concept of AGI has been around for decades. In its common use, the term suggests a time when individual machines can do many different things at a human level, not just one thing like playing Go or analyzing radiological images. Debating when AGI might arrive, a favorite pastime of computer scientists for years, now has become outdated.
We already have AI algorithms and chatbots that can do lots of different things. Based on the generalist definition, in other words, AGI is essentially already here.
Unfettered by the evolved capacity and storage constraints of our brains, AI algorithms can access nearly all of the digitized cultural inheritance of humanity since the dawn of recorded history and have increasing access to growing pools of digitized biological data from across the spectrum of life.
Once we recognize that both AI systems and humans have unique superpowers, the essential question becomes what each of us can do better than the other and what humans and AIs can best do in active collaboration. The future of our species will depend upon our ability to safely, dynamically, and continually figure that out.
With these ever-larger datasets, rapidly increasing computing and memory power, and new and better algorithms, our AI systems will keep getting better faster than most of us can today imagine. These capabilities have the potential to help us radically improve our healthcare, agriculture, and manufacturing, make our economies more productive and our development more sustainable, and do many important things better.
Soon, they will learn how to write their own code. Like human children, in other words, AI systems will grow up. But even that doesn’t mean our human goose is cooked.
Just like dolphins and dogs, these alternate forms of intelligence will be uniquely theirs, not a lesser or greater version of ours. There are lots of things AI systems can't do and will never be able to do because our AI algorithms, for better and for worse, will never be human. Our embodied human intelligence is its own thing.
Our human intelligence is uniquely ours based on the capacities we have developed in our 3.8-billion-year journey from single cell organisms to us. Our brains and bodies represent continuous adaptations on earlier models, which is why our skeletal systems look like those of lizards and our brains like most other mammals with some extra cerebral cortex mixed in. Human intelligence isn’t just some type of disembodied function but the inextricable manifestation of our evolved physical reality. It includes our sensory analytical skills and all of our animal instincts, intuitions, drives, and perceptions. Disembodied machine intelligence is something different than what we have evolved and possess.
Because of this, some linguists including Noam Chomsky have recently argued that AI systems will never be intelligent as long as they are just manipulating symbols and mathematical tokens without any inherent understanding. Nothing could be further from the truth. Anyone interacting with even first-generation AI chatbots quickly realizes that while these systems are far from perfect or omniscient and can sometimes be stupendously oblivious, they are surprisingly smart and versatile and will get more so… forever. We have little idea even how our own minds work, so judging AI systems based on their output is relatively close to how we evaluate ourselves.
Anyone not awed by the potential of these AI systems is missing the point. AI’s newfound capacities demand that we work urgently to establish norms, standards, and regulations at all levels from local to global to manage the very real risks. Pausing our development of AI systems now doesn’t make sense, however, even if it were possible, because we have no sufficient ways of uniformly enacting such a pause, no plan for how we would use the time, and no common framework for addressing global collective challenges like this.
But if all we feel is a passive awe for these new capabilities, we will also be missing the point.
Human evolution, biology, and cultural history are not just some kind of accidental legacy, disability, or parlor trick, but our inherent superpower. Our ancestors outcompeted rivals for billions of years to make us so well suited to the world we inhabit and helped build. Our social organization at scale has made it possible for us to forge civilizations of immense complexity, engineer biology and novel intelligence, and extend our reach to the stars. Our messy, embodied, intuitive, social human intelligence is roughly mimicable by AI systems but, by definition, never fully replicable by them.
Once we recognize that both AI systems and humans have unique superpowers, the essential question becomes what each of us can do better than the other and what humans and AIs can best do in active collaboration. We still don't know. The future of our species will depend upon our ability to safely, dynamically, and continually figure that out.
As we do, we'll learn that many of our ideas and actions are made up of parts, some of which will prove essentially human and some of which can be better achieved by AI systems. Those in every walk of work and life who most successfully identify the optimal contributions of humans, AIs, and the two together, and who build systems and workflows empowering humans to do human things, machines to do machine things, and humans and machines to work together in ways maximizing the respective strengths of each, will be the champions of the 21st century across all fields.
The dawn of the age of machine intelligence is upon us. It’s a quantum leap equivalent to the domestication of plants and animals, industrialization, electrification, and computing. Each of these revolutions forced us to rethink what it means to be human, how we live, and how we organize ourselves. The AI revolution will happen more suddenly than these earlier transformations but will follow the same general trajectory. Now is the time to aggressively prepare for what is fast heading our way, including by active public engagement, governance, and regulation.
AI systems will not replace us, but, like these earlier technology-driven revolutions, they will force us to become different humans as we co-evolve with our technology. We will never reach peak human in our ongoing evolutionary journey, but we’ve got to manage this transition wisely to build the type of future we’d like to inhabit.
Alongside our ascending AIs, we humans still have a lot of climbing to do.