Should Your Employer Have Access to Your Fitbit Data?
The modern world today has become more dependent on technology than ever. We want to achieve maximal tasks with minimal human effort. And increasingly, we want our technology to go wherever we go.
Wearable devices operate by collecting massive amounts of personal information on unsuspecting users.
At work, we are leveraging the immense computing power of tablet computers. To supplement social interaction, we have turned to smartphones and social media. Lately, another novel and exciting technology is on the rise: wearable devices that track our personal data, like the FitBit and the Apple Watch. The interest and demand for these devices is soaring. CCS Insight, an organization that studies developments in digital markets, has reported that the market for wearables will be worth $25 billion by next year. By 2020, it is estimated that a staggering 411 million smart wearable devices will be sold.
Although wearables include smartwatches, fitness bands, and VR/AR headsets, devices that monitor and track health data are gaining most of the traction. Apple has announced the release of Apple Health Records, a new feature for their iOS operating system that will allow users to view and store medical records on their smart devices. Hospitals such as NYU Langone have started to use this feature on Apple Watch to send push notifications to ER doctors for vital lab results, so that they can review and respond immediately. Previously, Google partnered with Novartis to develop smart contact lens that can monitor blood glucose levels in diabetic patients, although the idea has been in limbo.
As these examples illustrate, these wearable devices present unique opportunities to address some of the most intractable problems in modern healthcare. At the same time, these devices operate by collecting massive personal information on unsuspecting users and pose unique ethical challenges regarding informed consent, user privacy, and health data security. If there is a lesson from the recent Facebook debacle, it is that big data applications, even those using anonymized data, are not immune from malicious third-party data-miners.
On consent: do users of wearable devices really know what they are getting into? There is very little evidence to support the claim that consent obtained on signing up can be considered 'informed.' A few months ago, researchers from Australia published an interesting study that surveyed users of wearable devices that monitor and track health data. The survey reported that users were "highly concerned" regarding issues of privacy and considered informed consent "very important" when asked about data sharing with third parties (for advertising or data analysis).
However, users were not aware of how privacy and informed consent were related. In essence, while they seemed to understand the abstract importance of privacy, they were unaware that clicking on the "I agree" dialog box entailed giving up control of their personal health information. This is not surprising, given that most user agreements for online applications or wearable devices are often in lengthy legalese.
Companies could theoretically use their employees' data to motivate desired behavior, throwing a modern wrench into the concept of work/life balance.
Privacy of health data is another unexamined ethical question. Although wearable devices have traditionally been used for promotion of healthy lifestyles (through fitness tracking) and ease of use (such as the call and message features on Apple Watch), increasing interest is coming from corporations. Tractica, a market research firm that studies trends in wearable devices, reports that corporate consumers will account for 17 percent of the market share in wearable devices by 2020 (current market share stands at 1 percent). This is because wearable devices, loaded with several sensors, provide unique insights to track workers' physical activity, stress levels, sleep, and health information. Companies could theoretically use this information to motivate desired behavior, throwing a modern wrench into the concept of work/life balance.
Since paying for employees' healthcare tends to be one of the largest expenses for employers, using wearable devices is seen as something that can boost the bottom line, while enhancing productivity. Even if one considers it reasonable to devise policies that promote productivity, we have yet to determine ethical frameworks that can prevent discrimination against those who may not be able-bodied, and to determine how much control employers ought to exert over the lifestyle of employees.
To be clear, wearable smart devices can address unique challenges in healthcare and elsewhere, but the focus needs to shift toward the user's needs. Data collection practices should also reflect this shift.
Privacy needs to be incorporated by design and not as an afterthought. If we were to read privacy policies properly, it could take some 180 to 300 hours per year per person. This needs to change. Privacy and consent policies ought to be in clear, simple language. If using your device means ultimately sharing your data with doctors, food manufacturers, insurers, companies, dating apps, or whoever might want access to it, then you should know that loud and clear.
The recent implementation of European Union's General Data Protection Regulation (GDPR) is also a move in the right direction. These protections include firm guidelines for consent, and an ability to withdraw consent; a right to access data, and to know what is being done with user's collected data; inherent privacy protections; notifications of security breach; and, strict penalties for companies that do not comply. For wearable devices in healthcare, collaborations with frontline providers would also reveal which areas can benefit from integrating wearable technology for maximum clinical benefit.
In our pursuit of advancement, we must not erode fundamental rights to privacy and security, and not infringe on the rights of the vulnerable and marginalized.
If current trends are any indication, wearable devices will play a central role in our future lives. In fact, the next generation of wearables will be implanted under our skin. This future is already visible when looking at the worrying rise in biohacking – or grinding, or cybernetic enhancement – where people attempt to enhance the physical capabilities of their bodies with do-it-yourself cybernetic devices (using hacker ethics to justify the practice).
Already, a company in Wisconsin called Three Square Market has become the first U.S. employer to provide rice-grained-sized radio-frequency identification (RFID) chips implanted under the skin between the thumb and forefinger of their employees. The company stated that these RFID chips (also available as wearable rings or bracelets) can be used to login to computers, open doors, or use the copy machines.
Humans have always used technology to push the boundaries of what we can do. But in our pursuit of advancement, we must not erode fundamental rights to privacy and security, and not infringe on the rights of the vulnerable and marginalized. The rise of powerful wearables will also necessitate a global discussion on moral questions such as: what are the boundaries for artificially enhancing the human body, and is hacking our bodies ethically acceptable? We should think long and hard before we answer.
DNA- and RNA-based electronic implants may revolutionize healthcare
Implantable electronic devices can significantly improve patients’ quality of life. A pacemaker can encourage the heart to beat more regularly. A neural implant, usually placed at the back of the skull, can help brain function and encourage higher neural activity. Current research on neural implants finds them helpful to patients with Parkinson’s disease, vision loss, hearing loss, and other nerve damage problems. Several of these implants, such as Elon Musk’s Neuralink, have already been approved by the FDA for human use.
Yet, pacemakers, neural implants, and other such electronic devices are not without problems. They require constant electricity, limited through batteries that need replacements. They also cause scarring. “The problem with doing this with electronics is that scar tissue forms,” explains Kate Adamala, an assistant professor of cell biology at the University of Minnesota Twin Cities. “Anytime you have something hard interacting with something soft [like muscle, skin, or tissue], the soft thing will scar. That's why there are no long-term neural implants right now.” To overcome these challenges, scientists are turning to biocomputing processes that use organic materials like DNA and RNA. Other promised benefits include “diagnostics and possibly therapeutic action, operating as nanorobots in living organisms,” writes Evgeny Katz, a professor of bioelectronics at Clarkson University, in his book DNA- And RNA-Based Computing Systems.
While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output.
Adamala’s research focuses on developing such biocomputing systems using DNA, RNA, proteins, and lipids. Using these molecules in the biocomputing systems allows the latter to be biocompatible with the human body, resulting in a natural healing process. In a recent Nature Communications study, Adamala and her team created a new biocomputing platform called TRUMPET (Transcriptional RNA Universal Multi-Purpose GatE PlaTform) which acts like a DNA-powered computer chip. “These biological systems can heal if you design them correctly,” adds Adamala. “So you can imagine a computer that will eventually heal itself.”
The basics of biocomputing
Biocomputing and regular computing have many similarities. Like regular computing, biocomputing works by running information through a series of gates, usually logic gates. A logic gate works as a fork in the road for an electronic circuit. The input will travel one way or another, giving two different outputs. An example logic gate is the AND gate, which has two inputs (A and B) and two different results. If both A and B are 1, the AND gate output will be 1. If only A is 1 and B is 0, the output will be 0 and vice versa. If both A and B are 0, the result will be 0. While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output. In this case, the DNA enters the logic gate as a single or double strand.
If the DNA is double-stranded, the system “digests” the DNA or destroys it, which results in non-fluorescence or “0” output. Conversely, if the DNA is single-stranded, it won’t be digested and instead will be copied by several enzymes in the biocomputing system, resulting in fluorescent RNA or a “1” output. And the output for this type of binary system can be expanded beyond fluorescence or not. For example, a “1” output might be the production of the enzyme insulin, while a “0” may be that no insulin is produced. “This kind of synergy between biology and computation is the essence of biocomputing,” says Stephanie Forrest, a professor and the director of the Biodesign Center for Biocomputing, Security and Society at Arizona State University.
Biocomputing circles are made of DNA, RNA, proteins and even bacteria.
Evgeny Katz
The TRUMPET’s promise
Depending on whether the biocomputing system is placed directly inside a cell within the human body, or run in a test-tube, different environmental factors play a role. When an output is produced inside a cell, the cell's natural processes can amplify this output (for example, a specific protein or DNA strand), creating a solid signal. However, these cells can also be very leaky. “You want the cells to do the thing you ask them to do before they finish whatever their businesses, which is to grow, replicate, metabolize,” Adamala explains. “However, often the gate may be triggered without the right inputs, creating a false positive signal. So that's why natural logic gates are often leaky." While biocomputing outside a cell in a test tube can allow for tighter control over the logic gates, the outputs or signals cannot be amplified by a cell and are less potent.
TRUMPET, which is smaller than a cell, taps into both cellular and non-cellular biocomputing benefits. “At its core, it is a nonliving logic gate system,” Adamala states, “It's a DNA-based logic gate system. But because we use enzymes, and the readout is enzymatic [where an enzyme replicates the fluorescent RNA], we end up with signal amplification." This readout means that the output from the TRUMPET system, a fluorescent RNA strand, can be replicated by nearby enzymes in the platform, making the light signal stronger. "So it combines the best of both worlds,” Adamala adds.
These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body.
The TRUMPET biocomputing process is relatively straightforward. “If the DNA [input] shows up as single-stranded, it will not be digested [by the logic gate], and you get this nice fluorescent output as the RNA is made from the single-stranded DNA, and that's a 1,” Adamala explains. "And if the DNA input is double-stranded, it gets digested by the enzymes in the logic gate, and there is no RNA created from the DNA, so there is no fluorescence, and the output is 0." On the story's leading image above, if the tube is "lit" with a purple color, that is a binary 1 signal for computing. If it's "off" it is a 0.
While still in research, TRUMPET and other biocomputing systems promise significant benefits to personalized healthcare and medicine. These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body. The study’s lead author and graduate student Judee Sharon is already beginning to research TRUMPET's ability for earlier cancer diagnoses. Because the inputs for TRUMPET are single or double-stranded DNA, any mutated or cancerous DNA could theoretically be detected from the platform through the biocomputing process. Theoretically, devices like TRUMPET could be used to detect cancer and other diseases earlier.
Adamala sees TRUMPET not only as a detection system but also as a potential cancer drug delivery system. “Ideally, you would like the drug only to turn on when it senses the presence of a cancer cell. And that's how we use the logic gates, which work in response to inputs like cancerous DNA. Then the output can be the production of a small molecule or the release of a small molecule that can then go and kill what needs killing, in this case, a cancer cell. So we would like to develop applications that use this technology to control the logic gate response of a drug’s delivery to a cell.”
Although platforms like TRUMPET are making progress, a lot more work must be done before they can be used commercially. “The process of translating mechanisms and architecture from biology to computing and vice versa is still an art rather than a science,” says Forrest. “It requires deep computer science and biology knowledge,” she adds. “Some people have compared interdisciplinary science to fusion restaurants—not all combinations are successful, but when they are, the results are remarkable.”
In today’s podcast episode, Leaps.org Deputy Editor Lina Zeldovich speaks about the health and ecological benefits of farming crickets for human consumption with Bicky Nguyen, who joins Lina from Vietnam. Bicky and her business partner Nam Dang operate an insect farm named CricketOne. Motivated by the idea of sustainable and healthy protein production, they started their unconventional endeavor a few years ago, despite numerous naysayers who didn’t believe that humans would ever consider munching on bugs.
Yet, making creepy crawlers part of our diet offers many health and planetary advantages. Food production needs to match the rise in global population, estimated to reach 10 billion by 2050. One challenge is that some of our current practices are inefficient, polluting and wasteful. According to nonprofit EarthSave.org, it takes 2,500 gallons of water, 12 pounds of grain, 35 pounds of topsoil and the energy equivalent of one gallon of gasoline to produce one pound of feedlot beef, although exact statistics vary between sources.
Meanwhile, insects are easy to grow, high on protein and low on fat. When roasted with salt, they make crunchy snacks. When chopped up, they transform into delicious pâtes, says Bicky, who invents her own cricket recipes and serves them at industry and public events. Maybe that’s why some research predicts that edible insects market may grow to almost $10 billion by 2030. Tune in for a delectable chat on this alternative and sustainable protein.
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Further reading:
More info on Bicky Nguyen
https://yseali.fulbright.edu.vn/en/faculty/bicky-n...
The environmental footprint of beef production
https://www.earthsave.org/environment.htm
https://www.watercalculator.org/news/articles/beef-king-big-water-footprints/
https://www.frontiersin.org/articles/10.3389/fsufs.2019.00005/full
https://ourworldindata.org/carbon-footprint-food-methane
Insect farming as a source of sustainable protein
https://www.insectgourmet.com/insect-farming-growing-bugs-for-protein/
https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/insect-farming
Cricket flour is taking the world by storm
https://www.cricketflours.com/
https://talk-commerce.com/blog/what-brands-use-cricket-flour-and-why/
Lina Zeldovich has written about science, medicine and technology for Popular Science, Smithsonian, National Geographic, Scientific American, Reader’s Digest, the New York Times and other major national and international publications. A Columbia J-School alumna, she has won several awards for her stories, including the ASJA Crisis Coverage Award for Covid reporting, and has been a contributing editor at Nautilus Magazine. In 2021, Zeldovich released her first book, The Other Dark Matter, published by the University of Chicago Press, about the science and business of turning waste into wealth and health. You can find her on http://linazeldovich.com/ and @linazeldovich.