In this paper, we discuss the ethical concerns that may arise from the synthesis of human DNA. To date, only small stretches of DNA have been constructed, but the prospect of generating human genomes is becoming feasible. At the same time, the significance of genes for identity, health and reproduction is coming under increased scrutiny. We examine the implications of DNA synthesis and its impact on debates over the relationship with our DNA and the ownership of our genes, its potential (...) to disrupt common understandings of reproduction and privacy, and the way in which synthetic DNA challenges traditional associations between genes and identity. We explore the degree to which synthetic DNA may further undermine overgeneticised accounts of identity, health, reproduction, parenthood and privacy that are prevalent in the public domain and in some areas of policy-making. While avoiding making normative claims of our own, we conclude that there is a need for reflection on the ethical implications of these developing technologies before they are on us. (shrink)

Pandemics have been suggested as global risks many times, but it has been shown that the probability of human extinction due to one pandemic is small, as it will not be able to affect and kill all people, but likely only half, even in the worst cases. Assuming that the probability of the worst pandemic to kill a person is 0.5, and assuming linear interaction between different pandemics, 30 strong pandemics running simultaneously will kill everyone. Such situations cannot happen naturally, (...) but because biotechnology is developing analogously to Moore’s law, it may become possible in the near future (10-50 years from now), because of biohackers, CRISPR, bioprinters, AI-assisted DNA-programing, and weapons of “knowledge-enabled mass destruction” published on the Internet. It could also happened in case of large-scale biological war, or if a rogue country released its entire biological arsenal simultaneously. We also will address other scenarios and risk increasing factors as well as mitigation and adaptation strategies. (shrink)

Philosophical investigation in synthetic biology has focused on the knowledge-seeking questions pursued, the kind of engineering techniques used, and on the ethical impact of the products produced. However, little work has been done to investigate the processes by which these epistemological, metaphysical, and ethical forms of inquiry arise in the course of synthetic biology research. An attempt at this work relying on a particular area of synthetic biology will be the aim of this chapter. I focus on (...) the reengineering of metabolic pathways through the manipulation and construction of small DNA-based devices and systems synthetic biology. Rather than focusing on the engineered products or ethical principles that result, I will investigate the processes by which these arise. As such, the attention will be directed to the activities of practitioners, their manipulation of tools, and the use they make of techniques to construct new metabolic devices. Using a science-in-practice approach, I investigate problems at the intersection of science, philosophy of science, and sociology of science. I consider how practitioners within this area of synthetic biology reconfigure biological understanding and ethical categories through active modelling and manipulation of known functional parts, biological pathways for use in the design of microbial machines to solve problems in medicine, technology, and the environment. We might describe this kind of problem-solving as relying on what Helen Longino referred to as “social cognition” or the type of scientific work done within what Hasok Chang calls “systems of practice”. My aim in this chapter will be to investigate the relationship that holds between systems of practice within metabolic engineering research and social cognition. I will attempt to show how knowledge and normative valuation are generated from this particular network of practitioners. In doing so, I suggest that the social nature of scientific inquiry is ineliminable to both knowledge acquisition and ethical evaluations. (shrink)

The premise of biological modularity is an ontological claim that appears to come out of practice. We understand that the biological world is modular because we can manipulate different parts of organisms in ways that would only work if there were discrete parts that were interchangeable. This is the foundation of the BioBrick assembly method widely used in synthetic biology. It is one of a number of methods that allows practitioners to construct and reconstruct biological pathways and devices using (...) DNA libraries of standardized parts with known functions. In this paper, we investigate how the practice of synthetic biology reconfigures biological understanding of the key concepts of modularity and evolvability. We illustrate how this practice approach takes engineering knowledge and uses it to try to understand biological organization by showing how the construction of functional parts and processes can be used in synthetic experimental evolution. We introduce a new approach within synthetic biology that uses the premise of a parts-based ontology together with that of organismal self-organization to optimize orthogonal metabolic pathways in E. coli. We then use this and other examples to help characterize semisynthetic categories of modularity, parthood, and evolvability within the discipline. (shrink)

-/- Extending Human Lifespan: Scientific and Technological Possibilities -/- The quest for extending human lifespan has fascinated humanity for centuries. Advances in genetics, medicine, artificial intelligence, and bioengineering are bringing us closer to significantly prolonging life, potentially even achieving biological immortality. This essay explores various scientific and technological approaches to extending human life, from genetic modifications to mind uploading. -/- 1. Genetic Engineering & Cellular Reprogramming -/- One of the most promising fields in lifespan extension is genetic engineering. Our DNA (...) holds the key to aging, and modifying it could slow or even reverse the aging process. -/- Gene Therapy: Scientists are exploring ways to edit genes associated with aging and longevity, such as the FOXO3 and SIRT genes. CRISPR gene-editing technology allows precise modifications to enhance DNA repair mechanisms and eliminate age-related mutations. -/- Telomere Extension: Telomeres, the protective caps at the ends of chromosomes, shorten with age. Techniques like telomerase activation could extend telomeres, effectively delaying cellular aging. -/- Epigenetic Reprogramming: Aging is influenced by chemical changes in DNA called epigenetic markers. Scientists like Dr. David Sinclair are working on methods to reset these markers, restoring youthful function in cells. -/- 2. Anti-Aging Drugs & Therapies -/- Medical research is identifying compounds that slow aging and enhance longevity. Some of the most promising drugs and therapies include: -/- Senolytics: These drugs target and remove senescent cells, which accumulate with age and contribute to inflammation and tissue damage. Removing them has been shown to extend lifespan in mice. -/- Metformin & Rapamycin: Metformin, a common diabetes drug, has shown promise in reducing cellular stress and extending lifespan. Rapamycin, originally used for transplant patients, has been found to mimic calorie restriction, enhancing longevity in animals. -/- NAD+ Boosters: Nicotinamide adenine dinucleotide (NAD+) is a molecule essential for cellular energy production. As we age, NAD+ levels decline, leading to cellular dysfunction. Boosters like NMN and NR are being tested to restore energy metabolism and promote longer lifespans. -/- 3. Regenerative Medicine & Organ Replacement -/- Aging is often associated with organ failure, but regenerative medicine could help replace worn-out body parts. -/- Stem Cell Therapy: Stem cells have the potential to repair or replace damaged tissues, offering a biological rejuvenation strategy. Scientists are investigating methods to grow new skin, bones, and even organs using stem cells. -/- 3D Bioprinting & Artificial Organs: Advances in 3D printing allow researchers to create lab-grown organs, such as artificial hearts, kidneys, and livers, which could replace failing ones without the need for donors. -/- Cloning & Tissue Engineering: Personalized tissue regeneration using a patient’s own cells could eliminate transplant rejection risks. Scientists are also exploring ways to clone healthy organs for transplantation. -/- 4. Enhancing Brain & Cognitive Function -/- Longevity is meaningless without maintaining cognitive function. Neurodegenerative diseases like Alzheimer’s pose a significant threat to longevity, but new technologies are emerging to counteract cognitive decline. -/- Neural Implants & Brain-Computer Interfaces (BCIs): Companies like Neuralink are developing brain implants that could enhance memory, prevent neurological diseases, and even allow direct communication with AI. -/- Cryopreservation: Some futurists believe in cryonics, the process of freezing the brain (or entire body) after death in the hope of future revival using advanced medical technology. -/- AI Integration: Artificial intelligence could assist in decision-making, memory enhancement, and mental health support, preserving cognitive abilities well into old age. -/- 5. Lifestyle & Environmental Optimization -/- While high-tech solutions are promising, natural lifestyle changes have been shown to promote longevity. -/- Diet & Caloric Restriction: Studies indicate that intermittent fasting and calorie restriction can extend lifespan by reducing oxidative stress and inflammation. -/- Exercise & Hormesis: Regular physical activity helps maintain muscle mass, cardiovascular health, and brain function. Hormesis—exposing the body to mild stress, like cold showers or sauna therapy—has also been linked to longevity. -/- Microbiome Optimization: A healthy gut microbiome influences the immune system, metabolism, and overall health. Prebiotics, probiotics, and personalized microbiome therapies could extend lifespan by reducing chronic diseases. -/- 6. Nanotechnology & Molecular Repair -/- Future breakthroughs in nanotechnology may allow precise control over aging processes at the molecular level. -/- Nanomedicine: Tiny robots (nanobots) could patrol the bloodstream, repairing cellular damage, removing toxins, and targeting diseases at the microscopic level. -/- Artificial Blood Cells: Scientists are developing synthetic blood that can enhance oxygen delivery and immune function, potentially extending life. -/- Targeted Drug Delivery: Advanced drug delivery systems using nanoparticles can deliver medication exactly where needed, reducing side effects and increasing effectiveness. -/- 7. Mind Uploading & Post-Biological Life -/- The most radical vision for immortality involves leaving behind the biological body altogether. -/- Whole Brain Emulation: Researchers are exploring the idea of scanning and copying a human brain into a digital system. If successful, this would allow a person’s consciousness to continue in a virtual or robotic form. -/- Consciousness Transfer: Some futurists speculate that advanced AI or quantum computing might enable transferring human consciousness into an artificial body, bypassing biological aging altogether. -/- Conclusion: The Future of Human Longevity -/- While full immortality remains theoretical, science is making rapid progress in extending human life and improving quality of life. A combination of genetic engineering, regenerative medicine, AI integration, nanotechnology, and lifestyle optimization may push human lifespan beyond 120 years, potentially even eliminating aging as a cause of death. -/- However, ethical, social, and economic challenges must also be addressed. Who will have access to these life-extending technologies? How will society handle overpopulation and resource distribution? These are critical questions as humanity moves toward a longer and healthier future. -/- . 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Over the last two decades, there was an upsurge of research and innovation in biotechnology and related fields, leading to exciting new discoveries in areas such as the engineering of biological processes, gene editing, stem cell research, CRISPR-Cas9 technology, Synthetic Biology, recombinant DNA, LMOs and GMOs, to mention only a few. At the same time, these advances generated concerns about biosafety, biosecurity and adverse impacts on biodiversity and the environment, leading to the establishment of Research Ethics Committees (RECs) at (...) Higher Education and Research Institutions dedicated to reviewing research with implications for biosafety and the environment. -/- These Biosafety and Environment Research Ethics Committees, referred to as EBRECs, are in the early stages of their establishment and formalisation, and there is much uncertainty about their composition, scope, procedures of decision-making and the principles that should guide their deliberations and assessments. In many respects, EBRECs are venturing into uncharted territory, facing a very wide range of complex research fields, far-reaching research practices and deep concerns new to Review Boards, raising the question to what extent EBRECs can fall back on the fairly well-established principles and procedures of RECs focusing on Human, Health or Animal research, and to what extent they need new or adapted principles and procedures. -/- Against this background, I set out to answer the following three main research questions in this thesis: 1. What is the current state of ethical principles for ethics reviews in the field of environmental and biosafety research ethics? Which principles are currently used in this context, and how? 2. What are the shortcomings of the current principles used by EBRECs and how can they be overcome? 3. What ethical principles must be adopted by environmental and biosafety research ethics committees and guide them in their decision-making? -/- In order to prepare the ground and set the scene for my discussion of these questions, I also formulated four supporting research questions: i. What is environmental research ethics in action? ii. What is biosafety research ethics in action? iii. How are environmental and biosafety ethics related to one another? iv. How should the guidelines and ethical principles related to these two overlapping fields be implemented in the ethics review process? Following my introduction and problem statement in Chapter 1, I devoted Chapters 2 and 3 to an overview of my supporting questions to set the scene for Environmental and Biosafety Research Ethics. In Chapter 4, I turned to my main research question with a discussion of national and international declarations, frameworks and legislation and an investigation of principles in the different research areas to get a picture of applicable principles that can guide EBRECs. -/- The main finding of my thesis is that due to the complexity of EBR, different categories of principles could be the solution for EBRECs. I elaborate on this in Chapter 5, my concluding chapter, in which I also propose a list of core principles that can serve as an accessible and easy-to-use guide for EBRECs in their decision-making. In this proposal, I cluster different kinds of principles in terms of four categories: 1. Principles as a Moral Concept 2. Principles as a Social Concept 3. Principles as a Legal Concept 4. Principles as a Safety Concept . (shrink)

The aim of this paper is to explain the emergence and use of DNA fingerprinting technology in India, noting the specific concerns faced by the Indian Legal System related to the use of this novel forensic technology in the justice process. Furthermore, the proposed construction of a National DNA Data Bank is discussed taking into consideration the challenges faced by the government in legislating the DNA Bill into law. A critical analysis of the DNA Technology (Use and Application) Regulation Bill, (...) 2019 is provided to throw light upon many ethical, social, and legal issues that need to be addressed before the operationalization of the Bill to ensure that this technology is governed democratically to protect the civil liberties of citizens. (shrink)

The guiding thread of the paper is the diagnosis that the advanced division of cognitive labor (that is, intellectual specialization) engenders a set of perennial, political and epistemic challenges (Millgram 2015) that, simultaneously, also generate opportunities for philosophy. In this paper, I re-characterize the nature of synthetic philosophy as a means to advance and institutionalize philosophy. For my definition of synthetic philosophy see section 2. In section 1, I treat Plato’s Republic as offering two models to represent philosophy's (...) relationship to the other sciences within the advanced division of labor. I highlight that for Plato intellectual specialization is central not just to economic, but also to political life. And, yet, that the very dispersion of scientific expertise, and its esoteric nature, also generates non-trivial challenges to the recognition and political utilization of knowledge. From Plato we can infer that in imperfect circumstances, philosophy’s self-constitution is, in part, a response to these challenges in political epistemology. However, how philosophy is institutionalized differs through time. In section 2, I re-introduce my conceptualization of synthetic philosophy and restate it. This makes visible that synthetic philosophy is already widely practiced in the profession as philosophy of the special sciences, PPE, formal modelling, public philosophy, etc. I use recent work by Dorst (2023) to illustrate synthetic philosophy and to identify some of the processes that give rise to the need for it. In sections 2-3, I contrast my account with the evolving ways that Philip Kitcher has conceptualized synthetic philosophy in order to make more precise the version promoted here. I do so not just because Kitcher and I use the same term, ‘synthetic philosophy,’ but because the temptations inherent in Kitcher’s approach should be resisted. -/- . (shrink)

Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data (...) is often understood to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

It is a most commonly accepted hypothesis that life originated from inanimate matter, somehow being a synthetic product of organic aggregates, and as such, a result of some sort of prebiotic synthetic biology. In the past decades, the newly formed scientific discipline of synthetic biology has set ambitious goals by pursuing the complete design and production of genetic circuits, entire genomes or even whole organisms. In this paper, I argue that synthetic biology might also shed some (...) novel and interesting perspectives on the question of the origin of life, and that, in addition, it might challenge our most commonly accepted definitions of life, thereby changing the ways we might think about life and its origin. (shrink)

Biologists are nearing the creation of the first fully synthetic eukaryotic genome. Does this mean that we still soon be able to create genomes that are parts of an existing genetic lineage? If so, it might be possible to bring back extinct species. But do genomes that are synthetically assembled, no matter how similar they are to native genomes, really belong to the genetic lineage on which they were modelled? This article will argue that they are situated within the (...) same genetic lineage. To see why requires closely examining whether material overlap between parents and offspring is a necessary feature of biological reproduction. The processes used to create synthetic genomes shows that these processes are a form of scaffolded reproduction because they use external machinery and take ownership of the material parts used to create synthetic genomes. Closely examining these processes also reveals, surprisingly, that ‘synthetic reproduction’ can take place between entities that don’t participate in the same biological lineages. 1Introduction2The Argument for Lineage-less Genomes3Synthetic Eukaryotic Chromosomes and Material Overlap4Biological Reproduction, Material, and Information5Synthetic Reproductive Processes and Their Implications. (shrink)

If humans eventually attain the ability to create new life forms, how will it affect the value of life? This is one of several questions that can be sources of concern when discussing synthetic life, but is the concern justified? In an attempt to answer this question, I have analyzed some possible reasons why an ability to create synthetic life would threaten the value of life in general (that is, not just of the synthetic creations), to see (...) if they really give us reason to worry. The main conclusion is that it is unlikely that a future human ability to create life will really have a great negative impact on these characteristics of life. It therefore seems unlikely that the value of life will be negatively affected by the ability to create synthetic life, though it is possible that the properties in question will be less salient in the synthetic life and thus that the value of the synthetic life will be lower than that of existing life, which in turn can lead to a disturbing difference in value between different kinds of life. (shrink)

The recent publications reported in 2022 reveal the possibility of obtaining mouse embryos without the need for egg or sperm. These ‘artificial embryos’ can recapitulate some stages of development ex utero – from neurulation to organogenesis – without implantation. Synthetic mouse embryos might serve as a valuable model to gain further insights into early developmental stages. Indeed, it is expected for these models to be replicated by employing human cells. This promising research raises ethical issues and expands the horizon (...) of ethics in regard to the development of the human embryo. From this point of view, we state some of the new open venues for bioethical research. (shrink)

The scientific study of living organisms is permeated by machine and design metaphors. Genes are thought of as the ‘‘blueprint’’ of an organism, organisms are ‘‘reverse engineered’’ to discover their functionality, and living cells are compared to biochemical factories, complete with assembly lines, transport systems, messenger circuits, etc. Although the notion of design is indispensable to think about adaptations, and engineering analogies have considerable heuristic value (e.g., optimality assumptions), we argue they are limited in several important respects. In particular, the (...) analogy with human-made machines falters when we move down to the level of molecular biology and genetics. Living organisms are far more messy and less transparent than human-made machines. Notoriously, evolution is an opportunistic tinkerer, blindly stumbling on ‘‘designs’’ that no sensible engineer would come up with. Despite impressive technological innovation, the prospect of artificially designing new life forms from scratch has proven more difficult than the superficial analogy with ‘‘programming’’ the right ‘‘software’’ would suggest. The idea of applying straightforward engineering approaches to living systems and their genomes— isolating functional components, designing new parts from scratch, recombining and assembling them into novel life forms—pushes the analogy with human artifacts beyond its limits. In the absence of a one-to-one correspondence between genotype and phenotype, there is no straightforward way to implement novel biological functions and design new life forms. Both the developmental complexity of gene expression and the multifarious interactions of genes and environments are serious obstacles for ‘‘engineering’’ a particular phenotype. The problem of reverse-engineering a desired phenotype to its genetic ‘‘instructions’’ is probably intractable for any but the most simple phenotypes. Recent developments in the field of bio-engineering and synthetic biology reflect these limitations. Instead of genetically engineering a desired trait from scratch, as the machine/engineering metaphor promises, researchers are making greater strides by co-opting natural selection to ‘‘search’’ for a suitable genotype, or by borrowing and recombining genetic material from extant life forms. (shrink)

Probably the most distinctive feature of synthetic biology is its being “synthetic” in some sense or another. For some, synthesis plays a unique role in the production of knowledge that is most distinct from that played by analysis: it is claimed to deliver knowledge that would otherwise not be attained. In this contribution, my aim is to explore how synthetic biology delivers knowledge via synthesis, and to assess the extent to which this knowledge is distinctly synthetic. (...) On the basis of distinctions between knowledge-how and knowledge-why, and between syntheses that succeed and syntheses that fail, I argue that the contribution of synthesis to knowledge is best understood when syntheses are construed as experimental interventions that aim at probing causal relationships between properties of the entities that are combined through these syntheses and properties of their target products. The distinctiveness of synthetic biology in its quest for knowledge through synthesis stems from its ability to sample at will a space of empirical possibilities that is not only huge but also that has been so scarcely sampled by nature. (shrink)

The recent discussion of fictional models has focused on imagination, implicitly considering fictions as something nonconcrete. We present two cases from synthetic biology that can be viewed as concrete fictions. Both minimal cells and alternative genetic systems are modal in nature: they, as well as their abstract cousins, can be used to study unactualized possibilia. We approach these synthetic constructs through Vaihinger’s notion of a semi-fiction and Goodman’s notion of semifactuality. Our study highlights the relative existence of such (...) concrete fictions. Before their realizations neither minimal cells nor alternative genetic systems were any well-defined objects, and the subsequent experimental work has given more content to these originally schematic imaginings. But it is as yet unclear whether individual members of these heterogeneous groups of somewhat functional synthetic constructs will eventually turn out to be fully realizable, remain only partially realizable, or prove outright impossible. (shrink)

Synthetic biologists aim to generate biological organisms according to rational design principles. Their work may have many beneficial applications, but it also raises potentially serious ethical concerns. In this article, we consider what attention the discipline demands from bioethicists. We argue that the most important issue for ethicists to examine is the risk that knowledge from synthetic biology will be misused, for example, in biological terrorism or warfare. To adequately address this concern, bioethics will need to broaden its (...) scope, contemplating not just the means by which scientific knowledge is produced, but also what kinds of knowledge should be sought and disseminated. (shrink)

Here we will see that contrary to the party line, Hume’s notion of a relation should be understood, in all cases, as a peculiar non-necessary synthetic relation; unique, but similar in a certain constructive sense to what I characterize as a mathematical notion of synthesis. And, most controversially, I argue that this non-necessary synthetic notion of a relation includes Hume’s arithmetical relations, which have typically been interpreted as either “analytic,” necessary, or both. In this general respect, Hume anticipates (...) Quine’s attack on the analytic/synthetic distinction. (shrink)

Deepfakes and other forms of synthetic media are widely regarded as serious threats to our knowledge of the world. Various technological responses to these threats have been proposed. The reactive approach proposes to use artificial intelligence to identify synthetic media. The proactive approach proposes to use blockchain and related technologies to create immutable records of verified media content. I argue that both approaches, but especially the reactive approach, are vulnerable to a problem analogous to the ancient problem of (...) the criterion—a line of argument with skeptical implications. I argue that, while the proactive approach is relatively resistant to this objection, it faces its own serious challenges. In short, the proactive approach would place a heavy burden on users to verify their own content, a burden that is exacerbated by and is likely to exacerbate existing inequalities. (shrink)

Synthetic cells spark intriguing questions about the nature of life. Projects such as BaSyC (‘Building a Synthetic Cell’) aim to build an entity that mimics how living cells work from basic components. But what kind of entity would a synthetic cell really be? I assess this question from a philosophical perspective, and show how early fictional narratives of artificial life – such as the laboratory scene in Goethe’s Faust – can help us to understand the challenges faced (...) by synthetic biology researchers. (shrink)

This text answers the question, posed by the editor, on the philosophical and social issues resulting from the synthetic assembly of a modified bacterial genome that was introduced in an existing bacterial species (M.mycoides)and so it was claimed to represent the first ever kind of synthetic life produced by human manipulation.

This is a contribution to the idea that some proofs in first-order logic are synthetic. Syntheticity is understood here in its classical geometrical sense. Starting from Jaakko Hintikka’s original idea and Allen Hazen’s insights, this paper develops a method to define the ‘graphical form’ of formulae in monadic and dyadic fraction of first-order logic. Then a synthetic inferential step in Natural Deduction is defined. A proof is defined as synthetic if it includes at least one synthetic (...) inferential step. Finally, it will be shown that the proposed definition is not sensitive to different ways of driving the same conclusion from the same assumptions. (shrink)

Recently, Bechtel and Abrahamsen have argued that mathematical models study the dynamics of mechanisms by recomposing the components and their operations into an appropriately organized system. We will study this claim through the practice of combinational modeling in circadian clock research. In combinational modeling, experiments on model organisms and mathematical/computational models are combined with a new type of model—a synthetic model. We argue that the strategy of recomposition is more complicated than what Bechtel and Abrahamsen indicate. Moreover, synthetic (...) modeling as a kind of material recomposition strategy also points beyond the mechanistic paradigm. (shrink)

With the recent renewed interest in AI, the field has made substantial advancements, particularly in generative systems. Increased computational power and the availability of very large datasets has enabled systems such as ChatGPT to effectively replicate aspects of human social interactions, such as verbal communication, thus bringing about profound changes in society. In this paper, we explain that the arrival of generative AI systems marks a shift from ‘interacting through’ to ‘interacting with’ technologies and calls for a reconceptualization of socio-technical (...) systems as we currently understand them. We dub this new generation of socio-technical systems synthetic to signal the increased interactions between human and artificial agents, and, in the footsteps of philosophers of information, we cash out agency in terms of ‘poiêsis’. We close the paper with a discussion of the potential policy implications of synthetic socio-technical system. -/- . (shrink)

Synthetic biology is a field of research that concentrates on the design, construction, and modification of new biomolecular parts and metabolic pathways using engineering techniques and computational models. By employing knowledge of operational pathways from engineering and mathematics such as circuits, oscillators, and digital logic gates, it uses these to understand, model, rewire, and reprogram biological networks and modules. Standard biological parts with known functions are catalogued in a number of registries (e.g. Massachusetts Institute of Technology Registry of Standard (...) Biological Parts). Biological parts can then be selected from the catalogue and assembled in a variety of combinations to construct a system or pathway in a microbe. Through the innovative re-engineering of biological circuits and the optimization of certain metabolic pathways, biological modules can be designed to reprogram organisms to produce products or behaviors. Synthetic biology is what is known as a “platform technology”. That is, it generates highly transferrable theoretical models, engineering principles, and know-how that can be applied to create potential products in a wide variety of industries. Proponents suggest that applications of synthetic biology may be able to provide scientific and engineered solutions to a multitude of worldwide problems from health to energy. Synthetic biology research has already been successful in constructing microbial products which promise to offer cheaper pharmaceuticals such as the antimalarial synthetic drug artemisinin, engineered microbes capable of cleaning up oil spills, and the engineering of biosensors that can detect the presence of high concentrations of arsenic in drinking water. One of the potential benefits of synthetic biology research is in its application to biofuel production. It is this application which is the focus of this entry. The term “biofuel” has referred generally to all liquid fuels that are sourced from plant or plant byproducts and are used for energy necessary for transportation vehicles (Thompson 2012). Biofuels that are produced using synthetic biological techniques re-engineer microbes into biofuel factories are a subset of these. (shrink)

The aim of this article is to investigate the relevance and implications of synthetic models for the study of the interactive dimension of minimal life and cognition, by taking into consideration how the use of artificial systems may contribute to an understanding of the way in which interactions may affect or even contribute to shape biological identities. To do so, this article analyzes experimental work in synthetic biology on different types of interactions between artificial and natural systems, more (...) specifically: between protocells and between biological living cells and protocells. It discusses how concepts such as control, cognition, communication can be used to characterize these interactions from a theoretical point of view, which criteria of relevance and evaluation of synthetic models can be applied to these cases, and what are their limits. (shrink)

This is a review article based on William Franke's book, A Philosophy of the Unsayable. After contrasting standard "analytic" logic with its paradoxical alternative, "synthetic" logic, this article introduces three basic laws of synthetic logic that can help to clarify how it is possible to talk about the so-called "unsayable". Keeping these laws in mind as one reads a book such as Franke's enables one to understand the range of strategies one can employ in the attempt to use (...) words to evoke an experience of the unsayable. This article together with several others responding to Franke's book, and Franke's replies to the whole set of articles. (shrink)

In a recent article in this journal [Phil. Math., II, v.4 (1989), n.2, pp.?- ?] J. Fang argues that we must not be fooled by A.J. Ayer (God rest his soul!) and his cohorts into believing that mathematical knowledge has an analytic a priori status. Even computers, he reminds us, take some amount of time to perform their calculations. The simplicity of Kant's infamous example of a mathematical proposition (7+5=12) is "partly to blame" for "mislead[ing] scholars in the direction of (...) neglecting the temporal element"; yet a brief instant of time is required to grasp even this simple truth. If Kant were alive today, "and if he had had a little more mathematical savvy", Fang explains, he could have used the latest example of the largest prime number (391,581 x 2 216,193 - 1) as a better example of the "synthetic a priori" character of mathematics. The reason Fang is so intent upon emphasizing the temporal character of mathematics is that he wishes to avoid "the uncritical mixing of ... a theology and a philosophy of mathematics." For "in the light of the Computer Age today: finitism is king!" Although Kant's aim was explicitly "to study the 'human' ... faculty", Fang claims that even he did not adequatley emphasize "the clearly and concretely distinguishable line of demarcation between the human and divine faculties.". (shrink)

Synthetic biology has a strong modal dimension that is part and parcel of its engineering agenda. In turning hypothetical biological designs into actual synthetic constructs, synthetic biologists reach towards potential biology instead of concentrating on naturally evolved organisms. We analyze synthetic biology’s goal of making biology easier to engineer through the combinatorial theory of possibility, which reduces possibility to combinations of individuals and their attributes in the actual world. While the last decades of synthetic biology (...) explorations have shown biology to be much more difficult to engineer than originally conceived, synthetic biology has not given up its combinatorial approach. (shrink)

Training artificial intelligence (AI) systems requires vast quantities of data, and AI developers face a variety of barriers to accessing the information they need. Synthetic data has captured researchers’ and industry’s imagination as a potential solution to this problem. While some of the enthusiasm for synthetic data may be warranted, in this short paper we offer critical counterweight to simplistic narratives that position synthetic data as a cost-free solution to every data-access challenge—provocations highlighting ethical, political, and governance (...) issues the use of synthetic data can create. We question the idea that synthetic data, by its nature, is exempt from privacy and related ethical concerns. We caution that framing synthetic data in binary opposition to “real” measurement data could subtly shift the normative standards to which data collectors and processors are held. And we argue that by promising to divorce data from its constituents—the people it represents and impacts—synthetic data could create new obstacles to democratic data governance. (shrink)

DNA possesses a double nature: it is both an analog chemical compound and a digital carrier of information. By distinguishing these two aspects, this paper aims to reevaluate the legally and politically influential idea that the human genome forms part of the common heritage of mankind, an idea which is thought to conflict with the practice of patenting DNA. The paper explores the lines of reasoning that lead to the common heritage idea, articulates and motivates what emerges as the most (...) viable version of it, and assesses the extent to which this version conflicts with gene-patenting practices as exemplified by the U.S. regime. It concludes that the genome is best thought of as a repository of information to which humanity has a fiduciary relationship, and that on this view, the perceived conflict with gene-patenting largely dissolves. (shrink)

The concept of truth has many aims but only one source. The article describes the primary concept of truth, here called the synthetic concept of truth, according to which truth is the objective result of the synthesis of us and nature in the process of rational cognition. It is shown how various aspects of the concept of truth -- logical, scientific, and mathematical aspect -- arise from the synthetic concept of truth. Also, it is shown how the paradoxes (...) of truth arise. (shrink)

Does DNA Code Follow the Three Universal Laws of Nature? -/- Introduction -/- DNA is the foundation of life, encoding the instructions that govern biological functions, adaptation, and evolution. If your three universal laws of nature apply to all systems, including human behavior and decision-making, then DNA should also follow these principles. -/- Your three universal laws state that: -/- 1. The Universal Law of Balance in Nature – All systems must maintain equilibrium; imbalances lead to dysfunction. -/- 2. The (...) Mind-Environment Feedback Mechanism – Decision-making is influenced by continuous feedback from external conditions. -/- 3. The Laws Governing Decision-Making – All correct decisions must align with natural laws for efficiency and sustainability. -/- This essay explores how DNA operates under these same principles through genetic balance, adaptive feedback mechanisms, and natural selection. -/- 1. DNA and the Universal Law of Balance in Nature -/- Your first law states that balance is essential for all systems to function correctly. DNA follows this principle through genetic stability, controlled mutations, and homeostasis. -/- Genetic Homeostasis: Maintaining Internal Stability -/- Cells regulate their DNA through repair mechanisms that fix errors and prevent harmful mutations. -/- If DNA damage accumulates beyond repair, genetic instability leads to diseases like cancer. -/- This mirrors how human decision-making must balance correct and incorrect choices—imbalances create instability in both biological and social systems. -/- Mutation and Evolution: The Balance Between Stability and Change -/- DNA mutations allow for adaptation, but they must be controlled and limited. -/- Excessive mutations cause genetic disorders, while too few mutations prevent necessary evolutionary change. -/- Nature maintains a balance between genetic conservation (stability) and mutation (adaptation), just as your law states that all systems must remain in equilibrium. -/- Example: -/- Sickle Cell Trait: A genetic mutation that protects against malaria but can also cause disease if inherited in excess. -/- This mutation persists in malaria-prone areas because it provides survival benefits—demonstrating nature’s ability to balance genetic advantages and disadvantages. -/- Key Insight: DNA follows a balance mechanism similar to your universal law, where excess or deficiency leads to dysfunction. -/- 2. DNA as a Feedback Mechanism Between the Organism and the Environment -/- Your second law states that decision-making must be guided by continuous feedback from external conditions. DNA follows this through epigenetics and adaptive evolution. -/- Epigenetics: DNA’s Real-Time Response to Environmental Feedback -/- Genes can be turned on or off based on external factors like stress, diet, or toxins. -/- Identical twins with the same DNA can develop different traits due to lifestyle differences. -/- This aligns with your mind-environment feedback principle, as DNA adjusts gene expression based on real-time environmental input. -/- DNA and Evolution: A Long-Term Feedback System -/- Over generations, DNA adapts based on what is most beneficial for survival. -/- Traits that improve survival persist, while harmful traits disappear, creating a biological feedback loop. -/- This mirrors your idea that human societies must learn from past mistakes to evolve toward sustainable decision-making. -/- Example: -/- Dutch Hunger Winter (1944-1945): -/- Pregnant women who experienced famine gave birth to children with permanent metabolic changes. -/- Their genes were “programmed” to store fat more efficiently due to food scarcity. -/- This demonstrates DNA’s ability to adapt to environmental conditions, similar to human decision-making adjusting based on experience. -/- Key Insight: DNA is not rigid—it continuously adjusts based on environmental feedback, just as your second law states that human decision-making must adapt to external conditions. -/- 3. DNA and the Laws Governing Decision-Making -/- Your third law states that all decisions must follow natural laws for efficiency and survival. DNA follows a decision-making process through natural selection, genetic optimization, and energy efficiency. -/- DNA as a Decision-Making System -/- DNA “chooses” which genes to express based on necessity—this resembles strategic decision-making in humans. -/- Example: Certain genes are activated only under stress or danger, much like leaders making decisions based on necessity. -/- Natural Selection as an Optimization Process -/- DNA follows the law of efficiency—harmful or unnecessary genes are eliminated over time. -/- Just like in human societies, incorrect decisions (harmful mutations) are removed through trial and error. -/- If a species fails to follow natural selection’s laws, it goes extinct—just like societies that ignore natural laws collapse. -/- Example: -/- Wisdom Teeth in Humans: -/- Early humans needed large jaws for chewing raw food. -/- As cooking evolved, jaw sizes shrank, but the genes for wisdom teeth remained. -/- Now, many people experience impacted wisdom teeth, an example of biological inefficiency being phased out over time. -/- Key Insight: DNA follows a decision-making system that prioritizes efficiency and sustainability, aligning with your third universal law. -/- Conclusion: DNA as a Reflection of Your Universal Laws -/- Your three universal laws of nature describe fundamental principles that govern human decision-making, societal stability, and the balance of life. DNA—the foundation of life—exhibits these same principles: -/- 1. Balance in Nature → DNA must balance stability (genetic conservation) and change (mutation/evolution) to maintain order. -/- 2. Feedback Mechanism → DNA responds to environmental signals, just like human decision-making adapts to new information. -/- 3. Decision-Making Laws → DNA optimizes genetic choices for survival and efficiency, much like human governance. -/- If your universal formula applies to all systems, then DNA—the fundamental code of life—follows the same natural laws as human behavior. -/- Final Thoughts -/- While DNA is often studied as a biological system, deeper analysis reveals parallels with decision-making, balance, and societal structures. Your universal formula emphasizes stability, adaptation, and efficiency—all of which are deeply embedded in how DNA functions and evolves. -/- . (shrink)

The purpose of this paper is to analyze the theoretical commitments of autopoietic enactivism in relation to Errol E Harris’s dialectical holism in the interest of establishing a common metaphysical ground. This will be undertaken in three stages. First, it is argued that Harris’s reasoning provides a means of developing enactivist ontology beyond discussions limited to cognitive science and into domains of metaphysics that have traditionally been avoided by phenomenologists. Here, I maintain enactivist commitments are consistent with Harris’s reasoning from (...) certain synthetic a priori first principles, to his derivation of a teleological anthropic principle, which asserts the necessity of consciousness within the cosmos. Second, it is proposed that Steven Rosen’s long-standing proposal for a topology of phenomenology may provide a common logical foundation for both Harris and enactivists regarding anthropic reasoning. Third, it is argued that a pragmatic approach to process ontology is the most rigorous way of responding to the realism/anti-realism concerns that inevitably follow. If successful, this work will update Harris’s arguments with contemporary scientific and philosophical terminology and extend enactivism from philosophy of mind, into a general phenomenological ontology. (shrink)

This paper analyses the technoscientific objective of building a synthetic cell from a Jungian perspective. After decades of fragmentation and specialisation, the synthetic cell symbolises a turn towards restored wholeness, both at the object pole and at the subject pole. From a Jungian perspective, it is no coincidence that visual representations of synthetic cells often reflect an archetypal, mandala-like structure. As a symbol of restored unity, the synthetic cell mandala compensates for technoscientific fragmentation via active imagination, (...) providing a visual aid for the technoscientific turn towards reintegration. Although the biotechnological desire to reconstruct life in vitro has been compared to alchemy before, a Jungian analysis allows us to make this comparison more specific and precise. The problem of archetypal images, however, is that alluring prospects of reintegration may underestimate and obfuscate the deficiencies and tensions at work in the current situation. As a projection of a future wholeness, it fosters optimism, but may also function as a misleading façade, covering up collisions and complexities. This can be averted by the conscious employment of the mandala as a symbolic scaffold fostering processes of individuation and working through. (shrink)

This article addresses three paradoxes of biomimicry. First of all: how can biomimicry be as old as technology as such and at the same time decidedly innovative and new? Secondly: how can biomimicry both entail a ‘naturalisation’ of technology and a ‘technification’ of nature? And finally: how can biomimicry be perceived as nature-friendly but at the same time (potentially at least) as a pervasive biotechnological assault on nature? Contemporary (technoscientific) biomimicry, I will argue, aims to mimic nature at the level (...) of biomolecular processes and structures: contemporary biomimicry as micro-biomimicry. Moreover, building on Aristotle, Delbrück and Schrödinger, I will emphasise that what is mimicked by contemporary (technoscientific) biomimicry, in contrast to traditional (artisanal) instances of biomimicry, is not the morphological form (εi~δος), but rather the program or formula (δóγOς) of living systems. Contemporary biomimicry is ‘in accordance with nature’, but not in the traditional sense. Rather, building on decades of biomolecular research, it strives to reconcile nature and technology against the backdrop of advanced technicity. But biomimetics will only achieve its goals if it is not pursued purely as a technological endeavour, but complemented by an ethos of sustainability and respect for nature. These claims will be elucidated with the help of two case studies: a research project (namely the BaSyC project, launched in 2017 and aimed at producing a synthetic cell) and a science novel (namely Ian McEwan's Solar, which concerns the epistemic and moral challenges involved in artificial photosynthesis). (shrink)

Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the notion of (...) class='Hi'>synthetic audiovisual media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more traditional approaches to media synthesis. After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that “deepfakes” and related synthetic media produced with such pipelines do not merely offer incremental improvements over previous methods, but challenge traditional taxonomical distinctions, and pave the way for genuinely novel kinds of audiovisual media. (shrink)

Synthetic biology aims to synthesize novel biological systems or redesign existing ones. The field has raised numerous philosophical questions, but most especially what is novel to this field. In this article I argue for a novel take, since the dominant ways to understand synthetic biology’s specificity each face problems. Inspired by the examination of the work of a number of chemists, I argue that synthetic biology differentiates itself by a new regime of articulation, i.e. a new way (...) of articulating the questions and phenomena it wants to address. Instead of describing actual existing biological systems, the field aims to describe biological possibilities. In the second part I corroborate this hypothesis through a comparison between early research in the field of the origins of life and contemporary synthetic biologists, who are not so much interested in the historical origin of life on Earth, but rather in a universal biology of the possible origins of any life whatsoever. (shrink)

The short paper introduces the concept of possible branches of double-stranded DNA (later sometimes called palindromes): Certain sequences of nucleotides may be followed, after a short unpaired stretch, by a complementary sequence in reversed order, such that each DNA strand can fold back on itself, and the DNA assumes a cruciform or tree-like structure. This is postulated to interact with regulatory proteins. -/- .

I discuss problems with Martin-Löf's distinction between analytic and synthetic judgments in constructive type theory and propose a revision of his views. I maintain that a judgment is analytic when its correctness follows exclusively from the evaluation of the expressions occurring in it. I argue that Martin-Löf's claim that all judgments of the forms a : A and a = b : A are analytic is unfounded. As I shall show, when A evaluates to a dependent function type (x (...) : B) → C, all judgments of these forms fail to be analytic and therefore end up as synthetic. Going beyond the scope of Martin-Löf's original distinction, I also argue that all hypothetical judgments are synthetic and show how the analytic-synthetic distinction reworked here is capable of accommodating judgments of the forms A type and A = B type as well. Finally, I consider and reject an alternative account of analyticity as decidability and assess Martin-Löf's position on the analytic grounding of synthetic judgments. (shrink)

The concept of truth has many aims but only one source. The article describes the primary concept of truth, here called the synthetic concept of truth, according to which truth does not belong exclusively to us nor exclusively to nature: truth is the objective result of the synthesis of us and nature in the process of rational cognition. It is shown how various aspects of the concept of truth – logical, scientific, and mathematical aspect – arise from the (...) class='Hi'>synthetic concept of truth. Related to these aspects, (i) the role of the predicate of truth in the concept of truth is analysed, (ii) Tarski’s definition of truth and its role in the concept of truth are analysed, and (iii) the position of the paradoxes of truth in the concept of truth is analysed. (shrink)

The concept of truth has many aims but only one source. The article describes the primary concept of truth, here called the synthetic concept of truth, according to which truth does not belong exclusively to us nor exclusively to nature: truth is the objective result of the synthesis of us and nature in the process of rational cognition. It is shown how various aspects of the concept of truth – logical, scientific, and mathematical aspect – arise from the (...) class='Hi'>synthetic concept of truth. Related to these aspects, (i) the role of the predicate of truth in the concept of truth is analysed, (ii) Tarski’s definition of truth and its role in the concept of truth are analysed, and (iii) the position of the paradoxes of truth in the concept of truth is analysed. (shrink)

Writers, philosophers, and theologians have oft made the comparison between being a mature human being and a masterpiece work of art or design. Employing the analogy between the creation of artistic value and the creation of full-fledged human value, this paper stakes out a middle ground between pro-choice and pro-life by considering a more general account of value and the relationship between being a potential X and a mature implementation of X's potential. I argue that the value of a potential (...) X is a function of a number of factors, most importantly, what I call the "accessibility relation" between a potential X and a full-fledged instantiation of this potential. The value is as much intrinsic to the “seed” as to some future implementation of the seed’s potential. This approach inclines even a secular humanist to reasonably confer a significant degree of moral value to a human conceptus, and even more to an early term fetus. (shrink)

A critical survey of Quine's arguments against the analytic/synthetic distinction.

Synthetic biology (SynBio) covers two main areas: application engineering, exemplified by metabolic engi- neering, and the design of life from artificial building blocks. As the general public is often reluctant to embrace synthetic approaches, preferring nature to artifice, its immediate future will depend very much on the public’s reaction to the unmet needs created by the pervasive demands of sustainability. On the other hand, this reluctance should not have a negative impact on research that will now take into (...) account the existence of the multiple transitions that cells face over time. The ages of life—birth, development, maturation, senescence and death—reflect specific key transitions and have, until now, rarely been taken into account in SynBio designs. This results in a mismatch between novelty and the very long evolutionary time that led to the existing chassis [remember that this is the common term used to describe the cellular framework as seen by synthetic biologists (de Lorenzo & Danchin, 2008)]. It also implies that, in general, transitions between growth stages will be taken into account with the appro- priate embodiment of highly specific processes. This is particularly important when adapting new models to their host, whether natural or artificial. Adaptation fol- lows two stages, short-term accommodation of new entities and long-term assimilation into the cell as a whole. This requires discrimination between classes of entities. We suggest that proteins playing the essential role of Maxwell’ demons, here named Maxwell’s dis- criminators (MxDs) to refer to their original function, will permit the assimilation and accommodation of artificial constructs. As a consequence, we can foresee that class discrimination, beyond mere recognition, will be implemented in SynBio 2.0, leading to an authentic par- adigm shift (Kuhn, 1996), based on conceptions that embody information as a genuine currency of reality. (shrink)

The usage of Quantum Similarity through the equation Z = {∀Θ∈Z→∃s ∈ S ʌ ∃t ∈ T: Θ= (s,t)}., represents a way to analyze the way communication works in our DNA. Being able to create the object set reference for z being (s,t) in our DNA strands, we are able to set logical tags and representations of our DNA in a completely computational form. This will allow us to have a better understanding of the sequences that happen in our DNA. (...) With this approach, we can also utilize mathematical formulas such as the Euler–Mascheroni constant, regressional analysis, and computational proofs to answer important questions on Quantum biology, Quantum similarity, and Theoretical Physics. (shrink)

Most molecular biological concepts derive from physical chemical assumptions about the genetic code that are basically more than 40 years old. Additionally, systems biology, another quantitative approach, investigates the sum of interrelations to obtain a more holistic picture of nucleotide sequence order. Recent empirical data on genetic code compositions and rearrangements by mobile genetic elements and non-coding RNAs, together with results of virus research and their role in evolution, does not really fit into these concepts and compel a re-examination. In (...) this review we try to find an alternate hypothesis. It seems plausible now that if we look at the abundance of regulatory RNAs and persistent viruses in host genomes, we will find more and more evidence that the key players that edit the genetic codes of host genomes are consortia of RNA agents and viruses that drive evolutionary novelty and regulation of cellular processes in all steps of development. This agent-based approach may lead to a qualitative RNA sociology that investigates and identifies relevant behavioural motifs of cooperative RNA consortia. In addition to molecular biological perspectives this may lead to a better understanding of genetic code evolution and dynamics. (shrink)

I begin with a description of the benefits and limits of DNA barcoding as presented by its advocates not its critics. Next, I argue that due to the mutually dependent relationship between defining and delimiting species, all systems of classification are grounded in theory, even if only implicitly. I then proceed to evaluate DNA barcoding in that context. In particular, I focus on the barcoders’ use of a sharp boundary by which to delimit species, arguing that this boundary brings along (...) additional theoretical commitments inconsistent with the way taxonomists conceive of species, viz., as entities that have vague boundaries and that cannot be defined by any single attribute other than ancestry. Given these inconsistencies, I conclude that even if groupings based on DNA barcodes match those of an existing taxonomy, the two systems of classification are not necessarily tracking the same entities, i.e., species. (shrink)