Meet Your Child’s New Nanny: A Robot
Would you leave your small child in the care of a robot for several hours a day? It may sound laughable at first, but think carefully.
"Given the huge amounts of money we pay for childcare, a [robot caregiver] is a very attractive proposition."
Robots that can care for children would be a godsend to many parents, especially the financially strapped. In the U.S., 62 percent of women who gave birth in 2016 worked outside the home, and day care costs are often exorbitant. In California, for instance, the annual cost for day care for a single child averages over $22,000. The price is lower in some states, but it still accounts for a hefty chunk of the typical family's budget.
"We're talking about the Holy Grail of parenting," says Zoltan Istvan, a technology consultant and futurist. "Imagine a robot that could assume 70 percent to 80 percent of the caregiver's role for your child. Given the huge amounts of money we pay for childcare, that's a very attractive proposition."
Both China and Japan are on the leading edge of employing specially designed social robots for the care of children. Due to long work schedules, shifting demographics and China's long-term (but now defunct) one-child policy, both countries have a severe shortage of family caregivers. Enter the iPal, a child-sized humanoid robot with a round head, expressive face and articulated fingers, which can keep children engaged and entertained for hours on end. According to its manufacturer, AvatarMind Robot Technology, iPal is already selling like hotcakes in Asia and is expected to be available in the U.S. within the next year. The standard version of iPal sells for $2,499, and it's not the only robot claimed to be suitable for childcare. Other robots being fine-tuned are Softbank's humanoid models Pepper and NAO, which are also considered to be child-friendly social robots.
iPal talks, dances, plays games, reads stories and plugs into social media and the internet. According to AvatarMind, over time iPal learns your child's likes and dislikes, and can independently learn more about subjects your child is interested in to boost learning. In addition, it will wake your child up in the morning and tell him when it's time to get dressed, brush his teeth or wash his hands. If your child is a diabetic, it will remind her when it's time to check her blood sugar. But iPal isn't just a fancy appliance that mechanically performs these functions; it does so with "personality."
iPal robot interacting with a boy.
The robot has an "emotion management system" that detects your child's emotions and mirrors them (unless your child is sad, and then it tries to cheer him up). But it's not exactly like iPal has the kind of emotion chip long sought by Star Trek's android Data. What it does is emotional simulation--what some would call emotional dishonesty--considering that it doesn't actually feel anything. But research has shown that the lack of authenticity doesn't really matter when it comes to the human response to feigned emotion.
Children, and even adults, tend to respond to "emotional" robots as though they're alive and sentient even when we've seen all the wires and circuit boards that underlie their wizardry. In fact, we're hardwired to respond to them as though they are human beings in a real relationship with us.
The question is whether the relationships we develop with robots causes social maladaptation, especially among the most vulnerable among us—young children just learning how to connect and interact with others. Could a robot in fact come close to providing the authentic back-and-forth that helps children develop empathy, reciprocity, and self-esteem? Also, could steady engagement with a robot nanny diminish precious time needed for real family bonding?
It depends on whom you ask.
Because iPal is voice-activated, it frees children to learn by interacting in a way that's more natural than interacting with traditional toys, says Dr. Daniel Xiong, Co-founder and Chief Technology Officer at AvatarMind. "iPal is like a "real" family member with you whenever you need it," he says.
Xiong doesn't put a time limit on how long a child should interact with iPal on a daily basis. He sees the relationship between the child and the robot as healthy, though he admits that the technology needs to advance substantially before iPal could take the place of a human babysitter.
It's no coincidence that many toymakers and manufacturers are designing cute robots that look and behave like real children or animals, says Sherry Turkle, a Professor of Social Studies and Science at MIT. "When they make eye contact and gesture toward us, they predispose us to view them as thinking and caring," she has written in The Washington Post. "They are designed to be cute, to provide a nurturing response" from the child. "And when it comes to sociable AI, nurturance is the killer app: We nurture what we love, and we love what we nurture."
What are we saying to children about their importance to us when we're willing to outsource their care to a robot?
The problem is that we get lulled into thinking that we're in an actual relationship, when a robot can't possibly love us back. If adults have these vulnerabilities, what might such lopsided relationships do to the emotional development of a small child? Turkle notes that while we tend to ascribe a mind and emotions to a socially interactive robot, "Simulated thinking may be thinking, but simulated feeling is never feeling, and simulated love is never love."
Still, is active, playful engagement with a robot for a few hours a day any more harmful than several hours in front of a TV or with an iPad? Some, like Xiong, regard interacting with a robot as better than mere passive entertainment. iPal's manufacturers say that their robot can't replace parents or teachers and is best used by three- to eight-year-olds after school, while they wait for their parents to get off of work. But as robots become ever more sophisticated, they're expected to become more and more captivating, and to perform more of the tasks of day-to-day care.
Some studies, performed by Turkle and fellow MIT colleague Cynthia Breazeal, have revealed a darker side to child-robot interaction. Turkle has reported extensively on these studies in The Washington Post and in her 2011 book, Alone Together: Why We Expect More from Technology and Less from Each Other. Most children love robots, but some act out their inner bully on the hapless machines, hitting and kicking them and otherwise trying to hurt them. The trouble is that the robot can't fight back, teaching children that they can bully and abuse without consequences. Such harmful behavior could carry over into the child's human relationships.
And it turns out that communicative machines don't actually teach kids good communication skills. It's well known that parent-child communication in the first three years of life sets the stage for a child's intellectual and academic success. Verbal back-and-forth with parents and caregivers is like food for a child's growing brain. One article published in JAMA Pediatrics showed that babies who played with electronic toys—like the popular robot dog AIBO—show a decrease in both the quantity and quality of their language skills.
Anna V. Sosa of the Child Speech and Language Lab at Northern Arizona University studied 26 ten- to 16-month-old infants to compare the growth of their language skills after they played with three types of toys: Electronic toys like a baby laptop and talking farm; traditional toys like wooden puzzles and building blocks; and books read aloud by their parents.
The play that produced the most growth in verbal ability was having books read to them, followed by play with traditional toys. Language gains after playing with electronic toys came dead last. This form of play involved the least use of adult words, the least conversational turn-taking with parents, and the least verbalizations from the children. While the study sample was small, it's not hard to extrapolate that no electronic toy or even more abled robot could supply the intimate responsiveness of a parent reading stories to a child, explaining new words, answering the child's questions, and modeling the kind of back-and-forth interaction that promotes empathy and reciprocity in human relationships.
Most experts acknowledge that robots can be valuable educational tools, but they can't make a child feel truly loved, validated, and valued.
Research suggests that the main problem of leaving children in the care of robots on a regular basis is the risk of their stunted, unhealthy emotional development. In Alone Together, Turkle asks: What are we saying to children about their importance to us when we're willing to outsource their care to a robot? A child might be superficially entertained by the robot while her self-esteem is systematically undermined.
Two of the most vocal critics of robot nannies are researchers at the University of Sheffield in the U.K., Noel and Amanda Sharkey. In an article published in the journal Interaction Studies, they claim that the overuse of childcare robots could have serious consequences for the psychological and emotional wellbeing of children.
They acknowledge that limited use of robots can have positive effects like keeping a child safe from physical harm, allowing remote monitoring and supervision by parents, keeping a child entertained, and stimulating an interest in science and engineering. But the Sharkeys see the overuse of robots as a source of emotional alienation between parents and children. Just regularly plopping a child down with a robot for hours of interaction could be a form of neglect that panders to busy parents at the cost of a child's emotional development.
Robots, the Sharkeys argue, prey upon a child's natural tendency to anthropomorphize, which sucks them into a pseudo-relationship with a machine that can never return their affection. This can be seen as a form of emotional exploitation—a machine that promises connection but can never truly deliver. Furthermore, as robots develop more intimate skills such as bathing, feeding and changing diapers, children will lose out on some of the most fundamental and precious bonding activities with their parents.
Critics say that children's natural ability to bond is prime territory for exploitation by toy and robot manufacturers, who ultimately have a commercial agenda. The Sharkeys noted one study in which a state-of-the-art robot was employed in a daycare center. The ten- to 20-month-old children bonded more deeply with the robot than with a teddy bear. It's not hard to see that starting the robot-bonding process early in life is good for robot business, as babies and toddlers graduate to increasingly sophisticated machines.
"It is possible that exclusive or near exclusive care of a child by a robot could result in cognitive and linguistic impairments," say the Sharkeys. They cite the danger of a child developing what is called in psychology a pathological attachment disorder. Attachment disorders occur when parents are unpredictable or neglectful in their emotional responsiveness. The resulting shaky bond interferes with a child's ability to feel trust, pleasure, safety, and comfort in the presence of the parent. Unhealthy patterns of attachment include "insecure attachment," a form of anxiety that arises when a child cannot trust his caregiver with meeting his emotional needs. Children with attachment disorders may anxiously avoid attachments and may not be able to experience empathy, the cornerstone of relationships. Such patterns can follow a child throughout life and infect every other relationship they have.
An example of the inadequacy of robot nannies rests on the pre-programmed emotional responses they have in their repertoires. They're designed to detect and mirror a child's emotions and do things like play a child's favorite song when he's crying or in distress. But such a response could be the height of insensitivity. It discounts and belittles what may be a child's authentic response to an upsetting turn of events, like a scraped knee from a fall. A robot playing a catchy jingle is a far cry from having Mom clean and dress the wound, and perhaps more importantly, kiss it and make it better.
Most experts acknowledge that robots can be valuable educational tools. But they can't make a child feel truly loved, validated, and valued. That's the job of parents, and when parents abdicate this responsibility, it's not only the child that misses out on one of life's most profound experiences.
So consider buying a robot to entertain and educate your little one—just make sure you're close by for the true bonding opportunities that arrive so fast and last so fleetingly in the life of a child.
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.