Results for 'inductive risk'

973 found
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  1. Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.
    Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an (...)
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  2. An Inductive Risk Account of the Ethics of Belief.Guy Axtell - 2019 - Philosophy. The Journal of the Higher School of Economic 3 (3):146-171.
    From what norms does the ethics of belief derive its oughts, its attributions of virtues and vices, responsibilities and irresponsibilities, its permissioning and censuring? Since my inductive risk account is inspired by pragmatism, and this method understands epistemology as the theory of inquiry, the paper will try to explain what the aims and tasks are for an ethics of belief, or project of guidance, which best fits with this understanding of epistemology. More specifically, this chapter approaches the ethics (...)
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  3. Drug Regulation and the Inductive Risk Calculus.Jacob Stegenga - 2017 - In Kevin Christopher Elliott & Ted Richards (eds.), Exploring Inductive Risk: Case Studies of Values in Science. New York: Oup Usa. pp. 17-36.
    Drug regulation is fraught with inductive risk. Regulators must make a prediction about whether or not an experimental pharmaceutical will be effective and relatively safe when used by typical patients, and such predictions are based on a complex, indeterminate, and incomplete evidential basis. Such inductive risk has important practical consequences. If regulators reject an experimental drug when it in fact has a favourable benefit/harm profile, then a valuable intervention is denied to the public and a company’s (...)
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  4. On the mitigation of inductive risk.Gabriele Contessa - 2021 - European Journal for Philosophy of Science 11 (3):1-14.
    The last couple of decades have witnessed a renewed interest in the notion of inductive risk among philosophers of science. However, while it is possible to find a number of suggestions about the mitigation of inductive risk in the literature, so far these suggestions have been mostly relegated to vague marginal remarks. This paper aims to lay the groundwork for a more systematic discussion of the mitigation of inductive risk. In particular, I consider two (...)
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  5. The scope of inductive risk.P. D. Magnus - 2022 - Metaphilosophy 53 (1):17-24.
    The Argument from Inductive Risk (AIR) is taken to show that values are inevitably involved in making judgements or forming beliefs. After reviewing this conclusion, I pose cases which are prima facie counterexamples: the unreflective application of conventions, use of black-boxed instruments, reliance on opaque algorithms, and unskilled observation reports. These cases are counterexamples to the AIR posed in ethical terms as a matter of personal values. Nevertheless, it need not be understood in those terms. The values which (...)
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  6. Medical AI, Inductive Risk, and the Communication of Uncertainty: The Case of Disorders of Consciousness.Jonathan Birch - forthcoming - Journal of Medical Ethics.
    Some patients, following brain injury, do not outwardly respond to spoken commands, yet show patterns of brain activity that indicate responsiveness. This is “cognitive-motor dissociation” (CMD). Recent research has used machine learning to diagnose CMD from electroencephalogram (EEG) recordings. These techniques have high false discovery rates, raising a serious problem of inductive risk. It is no solution to communicate the false discovery rates directly to the patient’s family, because this information may confuse, alarm and mislead. Instead, we need (...)
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  7. Objectivity, value-free science, and inductive risk.Paul Hoyningen-Huene - 2023 - European Journal for Philosophy of Science 13 (1):1-26.
    In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn to the (...)
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  8. The Validity of the Argument from Inductive Risk.Matthew J. Brown & Jacob Stegenga - 2023 - Canadian Journal of Philosophy 53 (2):187-190.
    Havstad (2022) argues that the argument from inductive risk for the claim that non-epistemic values have a legitimate role to play in the internal stages of science is deductively valid. She also defends its premises and thus soundness. This is, as far as we are aware, the best reconstruction of the argument from inductive risk in the existing literature. However, there is a small flaw in this reconstruction of the argument from inductive risk which (...)
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  9. Inconvenient Truth and Inductive Risk in Covid-19 Science.Eli I. Lichtenstein - 2022 - Philosophy of Medicine 3 (1):1-25.
    To clarify the proper role of values in science, focusing on controversial expert responses to Covid-19, this article examines the status of (in)convenient hypotheses. Polarizing cases like health experts downplaying mask efficacy to save resources for healthcare workers, or scientists dismissing “accidental lab leak” hypotheses in view of potential xenophobia, plausibly involve modifying evidential standards for (in)convenient claims. Societies could accept that scientists handle (in)convenient claims just like nonscientists, and give experts less political power. Or societies could hold scientists to (...)
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  10. Ethics of the scientist qua policy advisor: inductive risk, uncertainty, and catastrophe in climate economics.David M. Frank - 2019 - Synthese:3123-3138.
    This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The main (...)
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  11. The limits of conventional justification: inductive risk and industry bias beyond conventionalism.Miguel Ohnesorge - 2020 - Frontiers in Research Metric and Analytics 14.
    This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. (...)
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  12. Hlutdrægni í vísindum: Vanákvörðun, tilleiðsluáhætta og tilurð kenninga [English: "Biased Science: Underdetermination, Inductive Risk, and Discovery"].Finnur Dellsén - 2016 - Ritið 16 (3):9-28.
    English abstract: Feminist philosophers of science have argued that various biases can and do influence the results of scientific investigations. Two kinds of arguments have been most influential: On the one hand, it has been argued that biased assumptions frequently bridge the gap between observation and theory associated with ‘the underdetermination thesis’. On the other hand, it has been argued that biased value judgments determine when the evidence in favor of a particular theory is considered sufficiently strong for the theory (...)
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  13. Human Induction in Machine Learning: A Survey of the Nexus.Petr Spelda & Vit Stritecky - 2021 - ACM Computing Surveys 54 (3):1-18.
    As our epistemic ambitions grow, the common and scientific endeavours are becoming increasingly dependent on Machine Learning (ML). The field rests on a single experimental paradigm, which consists of splitting the available data into a training and testing set and using the latter to measure how well the trained ML model generalises to unseen samples. If the model reaches acceptable accuracy, an a posteriori contract comes into effect between humans and the model, supposedly allowing its deployment to target environments. Yet (...)
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  14. William James on Risk, Efficacy, and Evidentialism.P. D. Magnus - 2022 - Episteme 19 (1):146-158.
    William James’ argument against William Clifford in The Will to Believe is often understood in terms of doxastic efficacy, the power of belief to influence an outcome. Although that is one strand of James’ argument, there is another which is driven by ampliative risk. The second strand of James’ argument, when applied to scientific cases, is tantamount to what is now called the Argument from Inductive Risk. Either strand of James’ argument is sufficient to rebut Clifford's strong (...)
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  15. Demonstrative Induction and the Skeleton of Inference.P. D. Magnus - 2008 - International Studies in the Philosophy of Science 22 (3):303-315.
    It has been common wisdom for centuries that scientific inference cannot be deductive; if it is inference at all, it must be a distinctive kind of inductive inference. According to demonstrative theories of induction, however, important scientific inferences are not inductive in the sense of requiring ampliative inference rules at all. Rather, they are deductive inferences with sufficiently strong premises. General considerations about inferences suffice to show that there is no difference in justification between an inference construed demonstratively (...)
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  16. The Epistemic Risk in Representation.Stephanie Harvard & Eric Winsberg - 2022 - Kennedy Institute of Ethics Journal 32 (1):1-31.
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  17. Varying Evidential Standards as a Matter of Justice.Ahmad Elabbar - forthcoming - British Journal for the Philosophy of Science.
    The setting of evidential standards is a core practice of scientific assessment for policy. Persuaded by considerations of inductive risk, philosophers generally agree that the justification of evidential standards must appeal to non-epistemic values but debate whether the balance of non-epistemic reasons favours varying evidential standards versus maintaining fixed high evidential standards in assessment, as both sets of standards promote different and important political virtues of advisory institutions. In this paper, I adjudicate the evidential standards debate by developing (...)
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  18. Public Trust in Science: Exploring the Idiosyncrasy-Free Ideal.Marion Boulicault & S. Andrew Schroeder - 2021 - In Kevin Vallier & Michael Weber (eds.), Social Trust: Foundational and Philosophical Issues. Routledge.
    What makes science trustworthy to the public? This chapter examines one proposed answer: the trustworthiness of science is based at least in part on its independence from the idiosyncratic values, interests, and ideas of individual scientists. That is, science is trustworthy to the extent that following the scientific process would result in the same conclusions, regardless of the particular scientists involved. We analyze this "idiosyncrasy-free ideal" for science by looking at philosophical debates about inductive risk, focusing on two (...)
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  19. An Accurate Solution for Credit Valuation Adjustment (CVA) and Wrong Way Risk.Tim Xiao - 2015 - Journal of Fixed Incom 25 (1):84-95.
    This paper presents a Least Square Monte Carlo approach for accurately calculating credit value adjustment (CVA). In contrast to previous studies, the model relies on the probability distribution of a default time/jump rather than the default time itself, as the default time is usually inaccessible. As such, the model can achieve a high order of accuracy with a relatively easy implementation. We find that the valuation of a defaultable derivative is normally determined via backward induction when their payoffs could be (...)
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  20. When Is Scientific Dissent Epistemically Inappropriate?Boaz Miller - 2021 - Philosophy of Science 88 (5):918-928.
    Normatively inappropriate scientific dissent prevents warranted closure of scientific controversies and confuses the public about the state of policy-relevant science, such as anthropogenic climate change. Against recent criticism by de Melo-Martín and Intemann of the viability of any conception of normatively inappropriate dissent, I identify three conditions for normatively inappropriate dissent: its generation process is politically illegitimate, it imposes an unjust distribution of inductive risks, and it adopts evidential thresholds outside an accepted range. I supplement these conditions with an (...)
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  21. Problems of Religious Luck, Chapter 3: "Enemy in the Mirror: The Need for Comparative Fundamentalism".Guy Axtell - 2018 - In Problems of Religious Luck: Assessing the Limits of Reasonable Religious Disagreement. Lanham, MD, USA & London, UK: Lexington Books/Rowman & Littlefield.
    Measures of inductive risk and of safety-principle violation help us to operationalize concerns about theological assertions or a sort which, as we saw in Part I, aggravate or intensify problems of religious luck. Our overall focus in Part II will remain on a) responses to religious multiplicity, and b) sharply asymmetrical religious trait-ascriptions to religious insiders and outsiders. But in Part II formal markers of inductive norm violation will supply an empirically-based manner of distinguishing strong from moderate (...)
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  22. Animal Cognition and Human Values.Jonathan Birch - 2018 - Philosophy of Science 85 (5):1026-1037.
    Animal welfare scientists face an acute version of the problem of inductive risk, since they must choose whether to affirm attributions of mental states to animals in advisory contexts, knowing their decisions hold consequences for animal welfare. In such contexts, the burden of proof should be sensitive to the consequences of error, but a framework for setting appropriate burdens of proof is lacking. Through reflection on two cases—pain and cognitive enrichment—I arrive at a tentative framework based on the (...)
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  23. Trust and Distributed Epistemic Labor‎.Boaz Miller & Ori Freiman - 2019 - In Judith Simon (ed.), The Routledge Handbook of Trust and Philosophy. Routledge. pp. ‎341-353‎.
    This chapter explores properties that bind individuals, knowledge, and communities, together. Section ‎‎1 introduces Hardwig’s argument from trust in others’ testimonies as entailing that trust is the glue ‎that binds individuals into communities. Section 2 asks “what grounds trust?” by exploring assessment ‎of collaborators’ explanatory responsiveness, formal indicators such as affiliation and credibility, ‎appreciation of peers’ tacit knowledge, game-theoretical considerations, and the role moral character ‎of peers, social biases, and social values play in grounding trust. Section 3 deals with establishing (...)
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  24. Well-Founded Belief and the Contingencies of Epistemic Location.Guy Axtell - 2019 - In Joseph Adam Carter & Patrick Bondy (eds.), Well Founded Belief: New Essays on the Epistemic Basing Relation. New York: Routledge. pp. 275-304.
    A growing number of philosophers are concerned with the epistemic status of culturally nurtured beliefs, beliefs found especially in domains of morals, politics, philosophy, and religion. Plausibly, worries about the deep impact of cultural contingencies on beliefs in these domains of controversial views is a question about well-foundedness: Does it defeat well-foundedness if the agent is rationally convinced that she would take her own reasons for belief as insufficiently well-founded, or would take her own belief as biased, had she been (...)
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  25. Values in Science: Should we say goodbye to impartiality?Claudio Ricardo Martins Reis - 2021 - Principia: An International Journal of Epistemology 2 (25):199-218.
    In the first half of the 20 th century, philosophers of science used to sustain that the correct theory acceptance in science derived from their conforming to certain rules. However, from the historicist and practical turn in the philosophy of science, the theory acceptance started to be analyzed based on values rather than on a priori established rules. In this article, I will present four paradigmatic positions on the role of values in science. The first position, articulated by Hugh Lacey, (...)
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  26. Problems of Religious Luck, Chapter 6: The Pattern Stops Here?Guy Axtell - 2018 - In Problems of Religious Luck: Assessing the Limits of Reasonable Religious Disagreement. Lanham, MD, USA & London, UK: Lexington Books/Rowman & Littlefield.
    This book has argued that problems of religious luck, especially when operationalized into concerns about doxastic risk and responsibility, can be of shared interest to theologians, philosophers, and psychologists. We have pointed out counter-inductive thinking as a key feature of fideistic models of faith, and examined the implications of this point both for the social scientific study of fundamentalism, and for philosophers’ and theologians’ normative concerns with the reasonableness of a) exclusivist attitudes to religious multiplicity, and b) theologically-cast (...)
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  27. The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment.Tim Xiao - manuscript
    This article presents a generic model for pricing financial derivatives subject to counterparty credit risk. Both unilateral and bilateral types of credit risks are considered. Our study shows that credit risk should be modeled as American style options in most cases, which require a backward induction valuation. To correct a common mistake in the literature, we emphasize that the market value of a defaultable derivative is actually a risky value rather than a risk-free value. Credit value adjustment (...)
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  28. Clinical Decisions Using AI Must Consider Patient Values.Jonathan Birch, Kathleen A. Creel, Abhinav K. Jha & Anya Plutynski - 2022 - Nature Medicine 28:229–232.
    Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.
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  29. Why and how to construct an epistemic justification of machine learning?Petr Spelda & Vit Stritecky - 2024 - Synthese 204 (2):1-24.
    Consider a set of shuffled observations drawn from a fixed probability distribution over some instance domain. What enables learning of inductive generalizations which proceed from such a set of observations? The scenario is worthwhile because it epistemically characterizes most of machine learning. This kind of learning from observations is also inverse and ill-posed. What reduces the non-uniqueness of its result and, thus, its problematic epistemic justification, which stems from a one-to-many relation between the observations and many learnable generalizations? The (...)
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  30.  13
    Collaborative research, scientific communities, and the social diffusion of trustworthiness.Torsten Wilholt - 2016 - In Michael Brady & Miranda Fricker (eds.), The Epistemic Life of Groups: Essays in the Epistemology of Collectives. Oxford, United Kingdom: Oxford University Press UK.
    The main thesis of this paper is that when we trust the results of scientific research, that trust is inevitably directed at least in part at collective bodies rather than at single researchers, and that accordingly, reasonable assessments of epistemic trustworthiness in science must attend to these collective bodies. In order to support this claim, I start by invoking the collaborative nature of most of today’s scientific research. I argue that the trustworthiness of a collaborative research group does not supervene (...)
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  31. Against the Precautionary Approach to Moral Status: The Case of Surrogates for Living Human Brains.Tomasz Żuradzki - 2021 - American Journal of Bioethics 21 (1):53-56.
    My paper builds on the conceptual tools from three interrelated philosophical debates that—as I believe—may help structure important if chaotic discussions about surrogates for living human brains and resolve some practical issues related to regulatory matters. In particular, I refer to the discussions about the “moral precautionary principle” in research ethics (Koplin and Wilkinson 2019); about normative uncertainty in ethics (MacAskill, Bykvist, and Ord 2020), and about the inductive risk problem for animal welfare scientists (Birch 2018). I elucidate (...)
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  32. The Epistemology of Maps.Quill R. Kukla - manuscript
    Maps provide us with an easily recognizable version of the new demarcation problem: On the one hand, we are all familiar with graphics and maps that unacceptably distort our perceptions without being technically inaccurate or fictive; indeed there are whole websites groups devoted to curating such images for fun. On the other hand, there are multiple unavoidably value-laden choices that must be made in the production of any map. Producing a map requires choosing everything from the colors and thicknesses of (...)
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  33. Are Algorithms Value-Free?Gabbrielle M. Johnson - 2023 - Journal Moral Philosophy 21 (1-2):1-35.
    As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments (...)
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  34. The Ableism of Quality of Life Judgments in Disorders of Consciousness: Who Bears Epistemic Responsibility?Joel Michael Reynolds - 2016 - American Journal of Bioethics Neuroscience 7 (1):59-61.
    In this peer commentary on L. Syd M. Johnson’s “Inference and Inductive Risk in Disorders of Consciousness,” I argue for the necessity of disability education as an integral component of decision-making processes concerning patients with DOC and, mutatis mutandis, all patients with disabilities. The sole qualification Johnson places on such decision-making is that stakeholders are educated about and “understand the uncertainties of diagnosis and prognosis.” Drawing upon research in philosophy of disability, social epistemology, and health psychology, I argue (...)
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  35. (2 other versions)Problems of Religious Luck: Assessing the Limits of Reasonable Religious Disagreement.Guy Axtell - 2018 - Lanham, MD, USA & London, UK: Lexington Books/Rowman & Littlefield.
    To speak of being religious lucky certainly sounds odd. But then, so does “My faith holds value in God’s plan, while yours does not.” This book argues that these two concerns — with the concept of religious luck and with asymmetric or sharply differential ascriptions of religious value — are inextricably connected. It argues that religious luck attributions can profitably be studied from a number of directions, not just theological, but also social scientific and philosophical. There is a strong tendency (...)
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  36. Value management and model pluralism in climate science.Julie Jebeile & Michel Crucifix - 2021 - Studies in History and Philosophy of Science Part A 88 (August 2021):120-127.
    Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value management can be seriously (...)
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  37. The Error Is in the Gap: Synthesizing Accounts for Societal Values in Science.Christopher ChoGlueck - 2018 - Philosophy of Science 85 (4):704-725.
    Kevin Elliott and others separate two common arguments for the legitimacy of societal values in scientific reasoning as the gap and the error arguments. This article poses two questions: How are these two arguments related, and what can we learn from their interrelation? I contend that we can better understand the error argument as nested within the gap because the error is a limited case of the gap with narrower features. Furthermore, this nestedness provides philosophers with conceptual tools for analyzing (...)
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  38. Democratic Values: A Better Foundation for Public Trust in Science.S. Andrew Schroeder - 2021 - British Journal for the Philosophy of Science 72 (2):545-562.
    There is a growing consensus among philosophers of science that core parts of the scientific process involve non-epistemic values. This undermines the traditional foundation for public trust in science. In this article I consider two proposals for justifying public trust in value-laden science. According to the first, scientists can promote trust by being transparent about their value choices. On the second, trust requires that the values of a scientist align with the values of an individual member of the public. I (...)
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  39. Thinking about Values in Science: Ethical versus Political Approaches.S. Andrew Schroeder - 2022 - Canadian Journal of Philosophy 52 (3):246-255.
    Philosophers of science now broadly agree that doing good science involves making non-epistemic value judgments. I call attention to two very different normative standards which can be used to evaluate such judgments: standards grounded in ethics and standards grounded in political philosophy. Though this distinction has not previously been highlighted, I show that the values in science literature contain arguments of each type. I conclude by explaining why this distinction is important. Seeking to determine whether some value-laden determination meets substantive (...)
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  40. Problems of Religious Luck, Ch. 4: "We Are All of the Common Herd: Montaigne and the Psychology of our 'Importunate Presumptions'".Guy Axtell - 2018 - In Problems of Religious Luck: Assessing the Limits of Reasonable Religious Disagreement. Lanham, MD, USA & London, UK: Lexington Books/Rowman & Littlefield.
    As we have seen in the transition form Part I to Part II of this book, the inductive riskiness of doxastic methods applied in testimonial uptake or prescribed as exemplary of religious faith, helpfully operationalizes the broader social scientific, philosophical, moral, and theological interest that people may have with problems of religious luck. Accordingly, we will now speak less about luck, but more about the manner in which highly risky cognitive strategies are correlated with psychological studies of bias studies (...)
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  41. Problems of Religious Luck, Ch. 5: "Scaling the ‘Brick Wall’: Measuring and Censuring Strongly Fideistic Religious Orientation".Guy Axtell - 2018 - In Problems of Religious Luck: Assessing the Limits of Reasonable Religious Disagreement. Lanham, MD, USA & London, UK: Lexington Books/Rowman & Littlefield.
    This chapter sharpens the book’s criticism of exclusivist responsible to religious multiplicity, firstly through close critical attention to arguments which religious exclusivists provide, and secondly through the introduction of several new, formal arguments / dilemmas. Self-described ‘post-liberals’ like Paul Griffiths bid philosophers to accept exclusivist attitudes and beliefs as just one among other aspects of religious identity. They bid us to normalize the discourse Griffiths refers to as “polemical apologetics,” and to view its acceptance as the only viable form of (...)
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  42. Enhanced Epistemic Trust and the Value-Free Ideal as a Social Indicator of Trust.T. Y. Branch - 2022 - Social Epistemology 36 (5):561-575.
    Publics trust experts for personal and pro-social reasons. Scientists are among the experts publics trust most, and so, epistemic trust is routinely afforded to them. The call for epistemic trust to be more socially situated in order to account for the impact of science on society and public welfare is at the forefront of enhanced epistemic trust. I argue that the value-free ideal for science challenges establishing enhanced epistemic trust by preventing the inclusion of non-epistemic values throughout the evaluation of (...)
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  43. Values in science and AI alignment research.Leonard Dung - manuscript
    Roughly, empirical AI alignment research (AIA) is an area of AI research which investigates empirically how to design AI systems in line with human goals. This paper examines the role of non-epistemic values in AIA. It argues that: (1) Sciences differ in the degree to which values influence them. (2) AIA is strongly value-laden. (3) This influence of values is managed inappropriately and thus threatens AIA’s epistemic integrity and ethical beneficence. (4) AIA should strive to achieve value transparency, critical scrutiny (...)
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  44. Ernest Nagel & Felix Oppenheim Respond to Leo Strauss, and the Road not Taken.Schliesser Eric - manuscript
    This chapter presents the reception of Leo Strauss by analytic philosophers after Strauss’s emigration to the United States. It gives a brief survey of the polemics against Strauss and his school by analytic philosophers, which aided in the self-constitution of analytic philosophy as a rival school of thought in philosophy. But most of the chapter is devoted to recovering the significance and influence of a criticism of Strauss by Ernest Nagel. The chapter argues that this response is of intrinsic interest (...)
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  45. The Difference-to-Inference Model for Values in Science.Jacob Stegenga & Tarun Menon - 2023 - Res Philosophica 100 (4):423-447.
    The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free ideal for science. -/- (...)
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  46. Wittgenstein and the ABC's of Religious Epistemics.Axtell Guy - forthcoming - In Pritchard Duncan & Venturinha Nuno (eds.), Wittgenstein and the Epistemology of Religion. Oxford University Press.
    This paper continues my development of philosophy of religion as multi-disciplinary comparative research. An earlier paper, “Wittgenstein and Contemporary Belief-Credence Dualism” compared Wittgensteinian reflections on religious discourse and praxis with B-C dualism as articulated by its leading proponents. While some strong commonalities were elaborated that might help to bridge Continental and Analytic approaches in philosophy of religion, Wittgenstein was found to be a corrective to B-C dualism especially as regards how the psychology and philosophy of epistemic luck/risk applies to (...)
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  47. Science, values, and pragmatic encroachment on knowledge.Boaz Miller - 2014 - European Journal for Philosophy of Science 4 (2):253-270.
    Philosophers have recently argued, against a prevailing orthodoxy, that standards of knowledge partly depend on a subject’s interests; the more is at stake for the subject, the less she is in a position to know. This view, which is dubbed “Pragmatic Encroachment” has historical and conceptual connections to arguments in philosophy of science against the received model of science as value free. I bring the two debates together. I argue that Pragmatic Encroachment and the model of value-laden science reinforce each (...)
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  48. Sisyphean Science: Why Value Freedom is Worth Pursuing.Tarun Menon & Jacob Stegenga - 2023 - European Journal for Philosophy of Science 13 (48):1-24.
    The value-free ideal in science has been criticised as both unattainable and undesirable. We argue that it can be defended as a practical principle guiding scientific research even if the unattainability and undesirability of a value-free end-state are granted. If a goal is unattainable, then one can separate the desirability of accomplishing the goal from the desirability of pursuing it. We articulate a novel value-free ideal, which holds that scientists should act as if science should be value-free, and we argue (...)
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  49. Straightening the ‘value-laden turn’: minimising the influence of extra-scientific values in science.Philippe Stamenkovic - 2024 - Synthese 203 (20):1-38.
    Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in science) have not been satisfactorily addressed (...)
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  50. Approximate Truth vs. Empirical Adequacy.Seungbae Park - 2014 - Epistemologia 37 (1):106-118.
    Suppose that scientific realists believe that a successful theory is approximately true, and that constructive empiricists believe that it is empirically adequate. Whose belief is more likely to be false? The problem of underdetermination does not yield an answer to this question one way or the other, but the pessimistic induction does. The pessimistic induction, if correct, indicates that successful theories, both past and current, are empirically inadequate. It is arguable, however, that they are approximately true. Therefore, scientific realists overall (...)
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