In recent years, the non-relativistic quantum dynamics derived from three assumptions; probability current conservation, average energy conservation, and an epistemic momentum uncertainty. Here we show that, these assumptions can be derived from a natural extension of classical statistical mechanics.

A shared presumption among practice-dependent theorists is that a principle of justice is dependent on the function or aim of the practice to which it is supposed to be applied. In recent contributions to this debate, the condition of epistemic uncertainty plays a significant role for motivating and justifying a practice-dependent view. This paper analyses the role of epistemic uncertainty in justifying a practice-dependent approach. We see two kinds of epistemic uncertainty allegedly playing this (...) justificatory role. What we call ‘normative epistemic uncertainty’ emerges from dealing with the problem of value uncertainty in justifying applied principles when our higher-level principles are open-textured, that is, when their content is too vague or unclear to generate determinate prescriptions. What we call ‘descriptive epistemic uncertainty’ emerges from dealing with uncertainty about empirical facts, such as the problem of moral assurance, that is, the problem that the requirements of justice cannot go beyond arrangements that we can know with reasonable confidence that we can jointly establish and maintain. In both cases, practice-dependent theorists conclude that the condition of epistemic uncertainty justifies a practice-dependent approach, which puts certain restrictions on theorizing regulative principles and has wide-ranging practical implications for the scope of justice. Our claim in this paper is that neither kind of epistemic uncertainty justifies a practice-dependent approach. (shrink)

The brief article deals with the following questions: Was the adaptive toolbox of heuristics ecologically rational and specifically accurate in the initial stages of COVID-19, which was characterized by epistemic uncertainty? In other words, in dealing with COVID-19 did the environmental structural variables allow the success of a given heuristic strategy?

We discuss the semantic significance of a puzzle concerning ‘ought’ and conditionals recently discussed by Kolodny and MacFarlane. We argue that the puzzle is problematic for the standard Kratzer-style analysis of modality. In Kratzer’s semantics, modals are evaluated relative to a pair of conversational backgrounds. We show that there is no sensible way of assigning values to these conversational backgrounds so as to derive all of the intuitions in Kolodny and MacFarlane’s case. We show that the appropriate verdicts can be (...) derived by extending Kratzer’s framework to feature a third conversational background and claiming that the relevant reading of ‘ought’ is sensitive to this parameter. (shrink)

In the epistemology of testimony it is often assumed that audiences are able to reliably recover asserted contents. In the philosophy of language this claim is contentious. This paper outlines one problem concerning the recovery of asserted contents, and argues that it prevents audiences from gaining testimonial knowledge in a range of cases. The recovery problem, in essence, is simply that due to the collective epistemic limitations of the speaker and audience speakers will, in certain cases, be insensitive to (...) the ways in which they may be misinterpreted. As a result audiences’ beliefs will often fail the safety and sensitivity conditions on knowledge. Once the problem has been outlined and distinguished from several related problems in the philosophy of language and the epistemology of testimony, a series of responses are considered. The first response holds that audiences possess defeaters in recovery problem cases, and thus wouldn’t form beliefs. The second response holds that the beliefs audiences form are very coarse grained, meaning they are not very vulnerable to failures of safety and sensitivity. The final response holds that the objects of speaker meaning are not propositional. All three responses are found to be unsatisfactory. (shrink)

In his short story “The Library of Babel” (1941), Argentinean writer Jorge LuisBorges (1899–1986) examines the nature of reality, in particular epistemologicalboundaries to knowing in the world and universe. In this tale Borges is concerned withepistemic certainty, whether the universe is decipherable by use of reason, philosophy,or scientific investigation. I examine Borges’ tale as an allegory of the dilemma modernsfind themselves in, in an age when the moorings which have anchored us, belief inGod, religious faith, moral absolutes, the idea of (...) progress, that language can mirrorreality, have all been subject to radical critique. In this regard, Borges stands at the cuspof postmodernism and can be seen as a precursor of this movement. Borges finds thesearch for meaning a noble yet frustrating human endeavor, underlain with a fear weare denied contact with the reality of things. The Library offers hope of revelation ofthe universe’s secrets, yet presents formidable barriers to understanding. In his visionBorges presents thought-provoking images of society, the search for knowledge, and ofhuman-imposed order on a chaotic reality. Keywords: Epistemology, knowledge, certainty, postmodernism, mathematics, North Carolina,USA. (shrink)

Recent advancements in developmental biology enable the creation of embryo-like structures from human stem cells, which we refer to as human embryo-like structures (hELS). These structures provide promising tools to complement—and perhaps ultimately replace—the use of human embryos in clinical and fundamental research. But what if these hELS—when further improved—also have a claim to moral status? What would that imply for their research use? In this paper, we explore these questions in relation to the traditional answer as to why human (...) embryos should be given greater protection than other (non-)human cells: the so-called Argument from Potential (AfP). According to the AfP, human embryos deserve special moral status because they have the unique potential to develop into persons. While some take the development of hELS to challenge the very foundations of the AfP, the ongoing debate suggests that its dismissal would be premature. Since the AfP is a spectrum of views with different moral implications, it does not need to imply that research with human embryos or hELS that (may) have ‘active’ potential should be completely off-limits. However, the problem with determining active potential in hELS is that this depends on development passing through ‘potentiality switches’ about the precise coordinates of which we are still in the dark. As long as this epistemic uncertainty persists, extending embryo research regulations to research with specific types of hELS would amount to a form of regulative precaution that as such would require further justification. (shrink)

This article addresses the impact of systematic ignorance and epistemic uncertainty upon white Western women's participation in anti-racist and transnational feminisms. I argue that a “methodology of the privileged” is necessary for effective coalition-building across racial and geopolitical inequities. Examining both self-reflexivity and racial sedition as existing methods, I conclude that epistemic uncertainty should be considered an additional strategy rather than a dilemma for the privileged.

The precise nature of microaggression purposely obscures the exploration of the intentionality of perpetrator and the quantification of the harm committed. The act fits neatly into a system that privileges some and validates their reality to themselves and to us. This paper explores microaggression and recommends strategies for avoiding its harms.

My dissertation, entitled "The Anxious Inquirer: Emotions and Epistemic Uncertainty", concerns the relation between the epistemic attitude of doubt and the emotion of anxiety. In this dissertation, I propose a model of the affective architecture of doubt inspired in part by research in psychiatry on the persistent and recurring doubt of patients with Obsessive-compulsive disorder.

In this chapter I show how challenges to our ability to tame the uncertainty of a pandemic leaves us vulnerable to uncertainty phobia. This is because not all the uncertainty that matters can be tamed by our knowledge of the relevant probabilities, contrary to what many believe. We are vulnerable because unrelievable wild uncertainty is a hard burden to bear, especially so when we must act in the face of it. -/- The source of unrelievable wild (...) uncertainty is that the nature of probability distributions matters for whether knowledge of them tames uncertainty. It matters because a warrant for the taming is provided by two theorems, but this warrant applies only to some kinds of probability distribution. Essentially, this is because the theorems are about what happens at a mathematical limit but real life never reaches the limit. Consequently, the warrant depends on how quickly the random processes producing the uncertainty converge towards their limit. If they are governed by one class of probability distributions, they converge quickly enough to possess the warrant. If they are governed by another class of probability distributions, they converge towards their limit too slowly and so do not possess that warrant. The random processes of pandemics involve the slow kind . -/- Faced with such a burden, as we are in a pandemic, we are tempted to retreat into uncertainty phobia, leading to fixed definite opinions, precisely when the exercise of sound judgement to determine our responses requires our opinions to be hedged and mobile. Coping with a pandemic requires us to bear the burden of unrelievable wild uncertainty rather than give in to the temptation of uncertainty phobia. Pandemics require the virtue of epistemic forbearance. (shrink)

Disorders of Consciousness (DoCs) raise difficult and complex questions about the value of life for persons with impaired consciousness, the rights of persons unable to make medical decisions, and our social, medical, and ethical obligations to patients whose personhood has frequently been challenged and neglected. Recent neuroscientific discoveries have led to enhanced understanding of the heterogeneity of these disorders, and focused renewed attention on the medical and ethical problem of misdiagnosis. -/- This book examines the entanglement of epistemic and (...) ethical uncertainty in DoCs and other medical contexts, and how they interact to create both epistemic and ethical risks. Philosopher and bioethicist L. Syd M Johnson pulls together multiple threads in this work: the ontological mysteries of consciousness, medical uncertainty about unconsciousness, ableist bias, withdrawal of treatment in neurointensive care, and the rarely questioned view that consciousness is essential to personhood and moral status. Johnson challenges longstanding bioethical dogmas about DoC patients, and argues for an ethics of uncertainty for contexts where there is a need for decisive action in the presence of unavoidable uncertainty. The ethics of uncertainty refocuses ethical inquiry concerning persons with DoCs, placing less emphasis on their contested personhood, and more on inductive risk and uncertainty, on respect for autonomy, and especially on epistemic justice. With applications to various decisional contexts where uncertainty and ethical risk interact, this ethical approach enables surrogate decision makers facing fraught and risky choices to fulfill their obligations as moral and epistemic agents. (shrink)

Communication facilitates coordination, but coordination might fail if there's too much uncertainty. I discuss a scenario in which vagueness-driven uncertainty undermines the possibility of publicly sharing a belief. I then show that asserting an epistemic modal sentence, 'Might p', can reveal the speaker's uncertainty, and that this may improve the chances of coordination despite the lack of a common epistemic ground. This provides a game-theoretic rationale for epistemic modality. The account draws on a standard (...) relational semantics for epistemic modality, Stalnaker's theory of assertion as informative update, and a Bayesian framework for reasoning under uncertainty. (shrink)

This paper considers contractarianism as a method of justification. The analysis accepts the key tenets of contractarianism: expected utility maximization, unanimity as the criteria of acceptance, and social-scientific uncertainty of modelled agents. In addition to these three features, however, the analysis introduces a fourth feature: a criteria of rational belief formation, viz. Bayesian belief updating. Using a formal model, this paper identifies a decisive objection to contractarian justification. Insofar as contractarian projects approximate the Agreement Model, therefore, they fail to (...) justify their conclusions. Insofar as they fail to approximate the Agreement Model, they must explain which modelling assumption they reject. (shrink)

Making the perspective of insiders critical to a theory of law, including particularly those who accept and enforce legal standards, has been the hallmark of corrections to John Austin’s theory at least since Hart’s The Concept of Law. Burge-Hendrix’s book continues this tradition and brings its insights to bear on the particular dispute between inclusive and exclusive positivists. That being said, the project has always seemed to me to be incomplete. If the participant’s perspective is indeed the critical one, then (...) the recognition that participants make normative claims about the concept of law itself surely deserves its own proper place in a legal theory. Those normative claims about law range, at the very least, from claims that coercion is justified to claims of authority. If these claims turn out to be false in cases of laws that are extremely unjust, then either they are not “laws” at all according to the participants' own views Or, participants will have to give up their normative claims about law and recognize that all that counts is pedigree and the power to coerce. In that case, we will be back to Austin’s coercive account of law, and much of the dispute between exclusive and inclusive positivists will be irrelevant. (shrink)

It can be demonstrated in a very straightforward way that confirmation and evidence as spelled out by us can vary from one case to the next, that is, a hypothesis may be weakly confirmed and yet the evidence for it can be strong, and conversely, the evidence may be weak and the confirmation strong. At first glance, this seems puzzling; the puzzlement disappears once it is understood that confirmation is of single hypotheses, in which there is an initial degree of (...) belief which is adjusted up or down as data accumulate, whereas evidence always has to do with a comparison of one hypothesis against another with respect to the data and is belief-independent. Confusing them is, we suggest, a plausible source of the so-called “base-rate fallacy” identified by Kahneman and Tversky which leads most of us to make mistaken statistical inferences. It is also in the background, or so we argue in some detail, of the important policy controversies concerning human-induced global warming. (shrink)

Can AI developers be held epistemically responsible for the processing of their AI systems when these systems are epistemically opaque? And can explainable AI (XAI) provide public justificatory reasons for opaque AI systems’ outputs? Koskinen (2024) gives negative answers to both questions. Here, I respond to her and argue for affirmative answers. More generally, I suggest that when considering people’s uncertainty about the factors causally determining an opaque AI’s output, it might be worth keeping in mind that a degree (...) of uncertainty about conclusions is inevitable even in entirely human-based empirical science because in induction there’s always a risk of getting it wrong. Keeping this in mind may help appreciate that requiring full transparency from AI systems before epistemically trusting their outputs might be unusually (and potentially overly) demanding. (shrink)

lt is now commonplace in fallacy inquiry for many of the traditional informal fallacies to be viewed as reasonable or nonfallacious modes of argument. Central to this evaluative shift has been the attempt to examine traditional fallacies within their wider contexts of use. However, this pragmatic turn in fallacy evaluation is still in its infancy. The true potential of a contextual approach in the evaluation of the fallacies is yet to be explored. I examine how, in the context of scientific (...) inquiry, certain traditional fallacies function by conferring epistemic gains upon inquiry. Specifically, I argue that these fallacies facilitate the progression of inquiry, particularly in the initial stages ofinquiry when the epistemic context is one of uncertainty. The conception of these fallacies that emerges is that of heuristics of reasoning in contexts of epistemic uncertainty. (shrink)

Using epistemic logic, we provide a non-probabilistic way to formalise payoff uncertainty, that is, statements such as ‘player i has approximate knowledge about the utility functions of player j.’ We show that on the basis of this formalisation common knowledge of payoff uncertainty and rationality (in the sense of excluding weakly dominated strategies, due to Dekel and Fudenberg (1990)) characterises a new solution concept we have called ‘mixed iterated strict weak dominance.’.

M. Oaksford and N. Chater presented a Bayesian analysis of the Wason selection task in which they proposed that people choose cards in order to maximize expected information gain as measured by reduction in uncertainty in the Shannon-Weaver information theory sense. It is argued that the EIG measure is both psychologically implausible and normatively inadequate as a measure of epistemic utility. The article is also concerned with the descriptive account of findings in the selection task literature offered by (...) Oaksford and Chater. First, it is shown that their analysis data reported in the recent article of K. N. Kirby is unsound; second, an EIG analysis is presented of the experiments of P. Pollard and J. St. B. T. Evans that provides a strong empirical disconfirmation of the theory. (shrink)

The paper addresses the evaluation of climate models and gives an overview of epistemic uncertainties in climate modeling; the uncertainties concern the data situation as well as the causal behavior of the climate system. In order to achieve reasonable results nonetheless, multimodel ensemble studies are employed in which diverse models simulate the future climate under different emission scenarios. The models jointly deliver a robust range of climate prognoses due to a broad plurality of theories, techniques, and methods in climate (...) research; the range reliably indicates the future development of the global climate. Nevertheless, the uncertainties are widely used by skeptics to challenge the IPCC’s prognoses. Such skeptical allegations can well be distinguished from points of fruitful epistemological criticism: in spite of the enduring range of prognoses, the epistemic uncertainties should not play a role in finding agreements on climate change mitigation. (shrink)

In this issue of the Hastings Center Report, Joshua Rager and Peter Schwartz suggest using opioid treatment agreements as public health monitoring tools to inform patients about “the requirements entailed by undergoing opioid therapy,” rather than as contractual agreements to alter patients’ individual behavior or to benefit them directly. Because Rager and Schwartz's argument presents suspected OTA violations as a justification to stop providing opioids yet does not highlight the broader epistemic and systemic context within which clinicians prescribe these (...) medications, their proposal may perpetuate a climate of distrust and stigmatization without correcting systemic factors that may have placed patients and others at risk in the first place. Given the context of epistemic uncertainty regarding opioid safety and efficacy, insufficient training for opioid prescribers, and inadequate patient education, I propose replacing OTAs, which have a narrow focus on patient behaviors, with opioid treatment plans, which would promote mutual, collaborative, and shared decision-making on the most appropriate pain management program. An OTP can be ethically justified as a tool to prevent and treat iatrogenic addiction under a specific paradigm—one that adopts a default position of professional epistemic humility and holds all collaborative parties accountable in chronic pain management. (shrink)

‘Epistemic’ arguments for conservatism typically claim that given the limits of human reason, we are better off accepting some particular social practice or institution rather than trying to consciously improve it. I critically examine and defend here one such argument, claiming that there are some domains of social life in which, given the limits of our knowledge and the complexity of the social world, we ought to defer to those institutions that have robustly endured in a wide variety of (...) circumstances in the past while not being correlated with intolerable outcomes. These are domains of social life in which our ignorance of optimal institutions is radical, and there is uncertainty about the costs of error. This is an argument for the preservation of particular institutions, not particular policies or outcomes, and it specifically identifies these with the institutions that John Rawls called ‘the basic structure of society.’ The argument further implies that to the extent that there is any reason to change these institutions, changes should be calculated as far as possible to increase their ‘epistemic power.’. (shrink)

Jennifer Rose Carr’s (2020) article “Normative Uncertainty Without Theories” proposes a method to maximize expected value under normative uncertainty without Intertheoretic Value Comparison (hereafter IVC). Carr argues that this method avoids IVC because it avoids theories: the agent’s credence is distributed among normative hypotheses of a particular type, which don’t constitute theories. However, I argue that Carr’s method doesn’t avoid or help to solve what I consider as the justificatory problem of IVC, which isn’t specific to comparing theories (...) as such. This threatens the implementability of Carr’s method. Fortunately, I also show how Carr’s method can nevertheless be implemented. I identify a type of epistemic states where the justificatory problem of IVC is not a necessary obstacle to maximizing expected value. In such states, the uncertainty stems from indecisive normative intuitions, and the agent justifiably constructs each normative hypothesis on the basis of a consistent subset of her intuitions by reference to the same unit of value. This part of my argument complements not only Carr’s (2020) argument, but also some moderate defenses of IVC. The combination of Carr’s paper and mine helps to illuminate the conditions for maximizing expected value under normative uncertainty without unjustified value comparison. (shrink)

When it comes to the public debate about the challenge of global climate change, moral questions are inextricably intertwined with epistemological ones. This manifests itself in at least two distinct ways. First, for a fixed set of epistemic standards, it may be irresponsible to delay policy-making until everyone agrees that such standards have been met. This has been extensively discussed in the literature on the precautionary principle. Second, key actors in the public debate may – for strategic reasons, or (...) out of simple carelessness – engage in the selective variation of epistemic standards in response to evidence that would threaten to undermine their core beliefs, effectively leading to epistemic double standards that make rational agreement impossible. The latter scenario is aptly described as an instance of what Stephen Gardiner calls ‘epistemic corruption’. In the present paper, I aim to give an explanation of the cognitive basis of epistemic corruption and discuss its place within the moral landscape of the debate. In particular, I argue that epistemic corruption often reflects an agent’s attempt to reduce dissonance between incoming scientific evidence and the agent’s ideological core commitments. By selectively discounting the former, agents may attempt to preserve the coherence of the latter, yet in doing so they threaten to damage the integrity of evidence-based deliberation. (shrink)

How does doubt come about? What are the mechanisms responsible for our inclinations to reassess propositions and collect further evidence to support or reject them? In this paper, I approach this question by focusing on what might be considered a distorting mirror of unreasonable doubt, namely the pathological doubt of patients with obsessive–compulsive disorder (OCD). Individuals with OCD exhibit a form of persistent doubting, indecisiveness, and over-cautiousness at pathological levels (Rasmussen and Eisen in Psychiatr Clin 15(4):743–758, 1992; Reed in Obsessional (...) experience and compulsive behaviour: a cognitive-structural approach, Academic Press, Cambridge, 1985; Tolin et al. in Cogn Ther Res 27(6):657–669, 2003). I argue that the failure in OCD is of an affective nature, involving both excessive epistemic anxiety and hyperactive feelings of uncertainty. I further argue that our adaptive disposition to inquire about the right matters—that is, about propositions which are both epistemically risky and imply harmful possibilities—might depend on these affective mechanisms. (shrink)

Physicians and other medical practitioners make untold numbers of judgments about patient care on a daily, weekly, and monthly basis. These judgments fall along a number of spectrums, from the mundane to the tragic, from the obvious to the challenging. Under the rubric of evidence-based medicine, these judgments will be informed by the robust conclusions of medical research. In the ideal circumstance, medical research makes the best decision obvious to the trained professional. Even when practice approximates this ideal, it does (...) so unevenly. Judgments in medical practice are always accompanied by uncertainty, and this uncertainty is a fickle companion—constant in its presence but inconstant in its expression. This feature of medical judgments gives rise to the moral responsibility of medical practitioners to be epistemically humble. This requires the recognition and communication of the uncertainty that accompanies their judgment as well as a commitment to avoiding intuitive innovations. (shrink)

Uncertainty is a necessary condition for the sound moral and scientific conduct of research involving human subjects. If the expert scientific communities, medical or otherwise, lacked uncertainty about the interventions under investigation, it would be unethical to knowingly subject individuals to inferior or harmful treatment. Moreover, if the relative merits of the interventions were previously established, as indicated by the lack of uncertainty within the relevant expert community, the results of the trial would be of little, if (...) any, scientific value. Despite the important role that uncertainty plays in the formulation and conduct of research involving human subjects, the concept has received inadequate treatment in the research ethics literature. To the limited extent that uncertainty is addressed, much of the emphasis remains on the ethical, not epistemic, aspects of uncertainty. What is left insufficiently examined is the nature and scope of the uncertainty. Often, uncertainty is glossed as agnosticism, indifference, and conflict. Yet these terms represent distinct types of uncertainty, and the type that obtains impacts the epistemic and ethical justifications for a proposed trial. A failure to recognize and clearly articulate the parameters of uncertainty in particular situations compromises our ability to respond to important moral and scientific concerns in the development and conduct of research. This problem is particularly pronounced in public health research that investigates problems resulting not only from uncertainties in scientific knowledge but from institutional failures, economic and social constraints, and lack of political will. Indeed, the role of research in public health is tied to its capacities to successfully navigate such complex questions. The way in which a study is designed and carried out, as well as ethically and scientifically justified, must reflect a robust and systematic characterization of the uncertainties present. Using an example from a study examining the efficacy of using treated sewage sludgeto remediate lead-contaminated soil, I explore and analyze the aforementioned deficiencies in understanding uncertainty among researchers and ethicists. The case study serves as a vehicle through which to illustrate (1) important considerations in characterizing and addressing uncertainty; (2) the influence of the uncertainty characterization on the formulation of parameters used to evaluate the ethical permissibility of the research; and (3) ways in which these parameters might be operationalized in the context of a particular study. (shrink)

This paper explores the role of moral uncertainty in explaining the morally disruptive character of new technologies. We argue that existing accounts of technomoral change do not fully explain its disruptiveness. This explanatory gap can be bridged by examining the epistemic dimensions of technomoral change, focusing on moral uncertainty and inquiry. To develop this account, we examine three historical cases: the introduction of the early pregnancy test, the contraception pill, and brain death. The resulting account highlights what (...) we call “differential disruption” and provides a resource for fields such as technology assessment, ethics of technology, and responsible innovation. (shrink)

The idea that knowledge can be extended by inference from what is known seems highly plausible. Yet, as shown by familiar preface paradox and lottery-type cases, the possibility of aggregating uncertainty casts doubt on its tenability. We show that these considerations go much further than previously recognized and significantly restrict the kinds of closure ordinary theories of knowledge can endorse. Meeting the challenge of uncertainty aggregation requires either the restriction of knowledge-extending inferences to single premises, or eliminating (...) class='Hi'>epistemic uncertainty in known premises. The first strategy, while effective, retains little of the original idea—conclusions even of modus ponens inferences from known premises are not always known. We then look at the second strategy, inspecting the most elaborate and promising attempt to secure the epistemic role of basic inferences, namely Timothy Williamson’s safety theory of knowledge. We argue that while it indeed has the merit of allowing basic inferences such as modus ponens to extend knowledge, Williamson’s theory faces formidable difficulties. These difficulties, moreover, arise from the very feature responsible for its virtue- the infallibilism of knowledge. (shrink)

Dogmatism is a claim about a possible epistemic position, not about the metaphysics of what puts us in that position. So, for example, it leaves it open whether the intrinsic nature of a perceiving subject’s state is the same as that of a hallucinating subject’s state.

ABSTRACT In the paper we present a survey of some approaches to the semantics of many-valued propositional systems. These approaches are inspired on one hand by classical problems in the investigations of logical aspects of epistemic activity: knowledge and truth, contradictions, beliefs, reliability of data, etc. On the other hand they reflect contemporary concerns of researchers in Artificial Intelligence (and Cognitive Science in general) with inferences drawn from imperfect information, even from total ignorance. We treat the mathematical apparatus that (...) has emerged recently: algebraic structures related to the new logical systems in the same way Boolean algebras correspond to classical logic. (shrink)

The Fukushima nuclear accident from 2011 provided an occasion for the public display of radiation maps generated using decision-support systems for nuclear emergency management. Such systems rely on computer models for simulating the atmospheric dispersion of radioactive materials and estimating potential doses in the event of a radioactive release from a nuclear reactor. In Germany, as in Japan, such systems are part of the national emergency response apparatus and, in case of accidents, they can be used by emergency task forces (...) for planning radioprotection countermeasures. In this context, the paper addresses the epistemology of dose projections by critically analyzing some of the sources of epistemic opacity and non-knowledge affecting them, and the different methods and practices used by German radioprotection experts to improve their trustworthiness and reliability. It will be argued that dose projections are part of an entire radioprotection regime or assemblage built around the belief that the effects of nuclear accidents can be effectively mitigated thanks to the simulation technologies underlying different protocols and practices of nuclear preparedness. And, as the Fukushima experience showed, some of these expectations will not be met in real emergencies due to the inherent uncertainties entailed by the use of dose projections when planning protective countermeasures. (shrink)

The central thesis of this book is that the argument that probability is insufficient to handle uncertainty in artificial intelligence (AI) is metaphysical in nature. Piscopo calls this argument against probability the non-adequacy claim and provides this summary of it [which first appeared in (Piscopo and Birattari 2008)]:Probability theory is not suitable to handle uncertainty in AI because it has been developed to deal with intrinsically stochastic phenomena, while in AI, uncertainty has an epistemic nature. (Piscopo (...) (3))Piscopo uses the term “metaphysical” in the Popperian sense: the non-adequacy claim is metaphysical (rather than scientific) since it cannot be disproved (much less established) by observation or experiment.In Chapter 2, Piscopo recounts some of the relevant history and issues in philosophy of science. There is little that is controversial here. One problem is that when addressing the question of how a particular probabilistic model is tested, Piscopo limits herself .. (shrink)

In this article, we present a new approach of modelling epistemic uncertainties in degradation processes. This approach is established in the framework of finite degradation structures, whic...

The experience of uncertainties in exploring the unknown—and dealing with them—is a key characteristic of what it means to be a life science researcher, but we have only started to understand how this characteristic shapes cultures of knowledge production, particularly in times when other—more social—uncertainties enter the field. Although the lab studies tradition has explored the workings of epistemic uncertainties, the range of potent uncertainty experiences in research cultures has been broadened within the neoliberal reorganization of academic institutions. (...) Most importantly, the stronger dependency on competitive project funding has led to increased social uncertainties. Being employed part-time and for shorter periods of time, researchers often find themselves in the precarious situation of high employment uncertainty. This article argues that the currently predominant form of organizing academic research creates a structural link between epistemic and social uncertainties. It then describes empirically different modes of coping with these uncertainties that researchers deploy and that seem to have become a variable in the governance of research cultures. To do so, it takes the academic life sciences in Austria as an example and explores them using approaches from both science and technology studies and labor studies. (shrink)

Epistemic states of uncertainty play important roles in ethical and political theorizing. Theories that appeal to a “veil of ignorance,” for example, analyze fairness or impartiality in terms of certain states of ignorance. It is important, then, to scrutinize proposed conceptions of ignorance and explore promising alternatives in such contexts. Here, I study Lerner’s probabilistic egalitarian theorem in the setting of imprecise probabilities. Lerner’s theorem assumes that a social planner tasked with distributing income to individuals in a population (...) is “completely ignorant” about which utility functions belong to which individuals. Lerner models this ignorance with a certain uniform probability distribution, and shows that, under certain further assumptions, income should be equally distributed. Much of the criticism of the relevance of Lerner’s result centers on the representation of ignorance involved. Imprecise probabilities provide a general framework for reasoning about various forms of uncertainty including, in particular, ignorance. To what extent can Lerner’s conclusion be maintained in this setting? (shrink)

Researchers doing welfare-related science frequently mischaracterize either situations of decision-theoretic mathematical/scientific uncertainty as situations of risk, or situations of risk as those of uncertainty. The paper outlines this epistemic/ethical problem ; surveys its often-deadly, welfare-related consequences in environmental-health sciences; and uses recent research on diesel particulate matter to reveal 7 specific methodological ways that scientists may mischaracterize lethal risks instead as situations of uncertainty, mainly by using methods and assumptions with false-negative biases. The article closes by (...) outlining two normative strategies for curbing misrepresentations of risk and uncertainty, especially in welfare-affecting science. (shrink)

Scientific knowledge has not stabilized in the current, early, phase of research and development of nanotechnologies creating a challenge to ‘upstream’ public engagement. Nevertheless, the idea that the public should be involved in deliberative discussions and assessments of emerging technologies at this early stage is widely shared among governmental and nongovernmental stakeholders. Many forums for public debate including focus groups, and citizen juries, have thus been organized to explore public opinions on nanotechnologies in a variety of countries over the past (...) few years. In Switzerland the Centre for Technology Assessment (TA-Swiss) organized such a citizen panel in fall 2006. Drawing from an ethnographic study of this panel called ‘publifocus on nanotechnologies, health, and environment’ this paper looks at the ways members of a stakeholder group deal with the epistemic uncertainty in their deliberation of nanotechnologies. By exploring the statements of the participants in the stakeholder discussion group, this paper reconstructs the narratives that constitute the epistemic foundations of the participants’ evaluations of nanotechnologies. (shrink)

An important epistemic issue in climate modelling concerns structural uncertainty: uncertainty about whether the mathematical structure of a model accurately represents its target. How does structural uncertainty affect our knowledge and predictions about the climate? How can we identify sources of structural uncertainty? Can we manage the effect of structural uncertainty on our knowledge claims? These are some of the questions that an epistemology of structural uncertainty faces, and these questions are also important (...) for climate scientists and policymakers. I develop three desiderata for an epistemological account of structural uncertainty. In my view, an account of structural uncertainty should identify sources of structural uncertainty, explain how these sources limit the applicability of a model, and show how the severity of structural uncertainty depends on the questions that can be asked of a model. I argue that analyzing structural uncertainty by paying attention to the details of model building can satisfy these desiderata. I focus on parametrizations, which are representations of important processes occurring at scales that are not resolved by climate models. Parametrizations are often thought to be ad-hoc, but I show that some important parametrizations are theoretically justified by explicit or implicit scale separation assumptions. These assumptions can also be supported empirically. Analyzing these theoretical and empirical justificatory roles of the scale separation assumptions can provide insights into how parametrizations contribute to structural uncertainty. I conclude by sketching how my approach can satisfy the desiderata I set out at the beginning, highlighting its importance for policy-relevant scientific statements about the climate. (shrink)