Who’s Responsible If a Scientist’s Work Is Used for Harm?
Are scientists morally responsible for the uses of their work? To some extent, yes. Scientists are responsible for both the uses that they intend with their work and for some of the uses they don't intend. This is because scientists bear the same moral responsibilities that we all bear, and we are all responsible for the ends we intend to help bring about and for some (but not all) of those we don't.
To not think about plausible unintended effects is to be negligent -- and to recognize, but do nothing about, such effects is to be reckless.
It should be obvious that the intended outcomes of our work are within our sphere of moral responsibility. If a scientist intends to help alleviate hunger (by, for example, breeding new drought-resistant crop strains), and they succeed in that goal, they are morally responsible for that success, and we would praise them accordingly. If a scientist intends to produce a new weapon of mass destruction (by, for example, developing a lethal strain of a virus), and they are unfortunately successful, they are morally responsible for that as well, and we would blame them accordingly. Intention matters a great deal, and we are most praised or blamed for what we intend to accomplish with our work.
But we are responsible for more than just the intended outcomes of our choices. We are also responsible for unintended but readily foreseeable uses of our work. This is in part because we are all responsible for thinking not just about what we intend, but also what else might follow from our chosen course of action. In cases where severe and egregious harms are plausible, we should act in ways that strive to prevent such outcomes. To not think about plausible unintended effects is to be negligent -- and to recognize, but do nothing about, such effects is to be reckless. To be negligent or reckless is to be morally irresponsible, and thus blameworthy. Each of us should think beyond what we intend to do, reflecting carefully on what our course of action could entail, and adjusting our choices accordingly.
It is this area, of unintended but readily foreseeable (and plausible) impacts, that often creates the most difficulty for scientists. Many scientists can become so focused on their work (which is often demanding) and so focused on achieving their intended goals, that they fail to stop and think about other possible implications.
Debates over "dual-use" research exemplify these concerns, where harmful potential uses of research might mean the work should not be pursued, or the full publication of results should be curtailed. When researchers perform gain-of-function research, pushing viruses to become more transmissible or more deadly, it is clear how dangerous such work could be in the wrong hands. In these cases, it is not enough to simply claim that such uses were not intended and that it is someone else's job to ensure that the materials remain secure. We know securing infectious materials can be error-prone (recall events at the CDC and the FDA).
In some areas of research, scientists are already worrying about the unintended possible downsides of their work.
Further, securing viral strains does nothing to secure the knowledge that could allow for reproducing the viral strain (particularly when the methodologies and/or genetic sequences are published after the fact, as was the case for H5N1 and horsepox). It is, in fact, the researcher's moral responsibility to be concerned not just about the biosafety controls in their own labs, but also which projects should be pursued (Will the gain in knowledge be worth the possible downsides?) and which results should be published (Will a result make it easier for a malicious actor to deploy a new bioweapon?).
We have not yet had (to my knowledge) a use of gain-of-function research to harm people. If that does happen, those who actually released the virus on the public will be most blameworthy–-intentions do matter. But the scientists who developed the knowledge deployed by the malicious actors may also be held blameworthy, especially if the malicious use was easy to foresee, even if it was not pleasant to think about.
In some areas of research, scientists are already worrying about the unintended possible downsides of their work. Scientists investigating gene drives have thought beyond the immediate desired benefits of their work (e.g. reducing invasive species populations) and considered the possible spread of gene drives to untargeted populations. Modeling the impacts of such possibilities has led some researchers to pull back from particular deployment possibilities. It is precisely such thinking through both the intended and unintended possible outcomes that is needed for responsible work.
The world has gotten too small, too vulnerable for scientists to act as though they are not responsible for the uses of their work, intended or not. They must seek to ensure that, as the recent AAAS Statement on Scientific Freedom and Responsibility demands, their work is done "in the interest of humanity." This requires thinking beyond one's intentions, potentially drawing on the expertise of others, sometimes from other disciplines, to help explore implications. The need for such thinking does not guarantee good outcomes, but it will ensure that we are doing the best we can, and that is what being morally responsible is all about.
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.