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  1. On Predicting Recidivism: Epistemic Risk, Tradeoffs, and Values in Machine Learning.Justin B. Biddle - 2022 - Canadian Journal of Philosophy 52 (3):321-341.
    Recent scholarship in philosophy of science and technology has shown that scientific and technological decision making are laden with values, including values of a social, political, and/or ethical character. This paper examines the role of value judgments in the design of machine-learning systems generally and in recidivism-prediction algorithms specifically. Drawing on work on inductive and epistemic risk, the paper argues that ML systems are value laden in ways similar to human decision making, because the development and design of ML systems (...)
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  • Understanding the Problem of “Hype”: Exaggeration, Values, and Trust in Science.Kristen Intemann - 2022 - Canadian Journal of Philosophy 52 (3):279-294.
    Several science studies scholars report instances of scientific “hype,” or sensationalized exaggeration, in journal articles, institutional press releases, and science journalism in a variety of fields (e.g., Caulfield and Condit 2012). Yet, how “hype” is being conceived varies. I will argue that hype is best understood as a particular kind of exaggeration, one that explicitly or implicitly exaggerates various positive aspects of science in ways that undermine the goals of science communication in a particular context. This account also makes clear (...)
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  • An Ethical Framework for Presenting Scientific Results to Policy-Makers.S. Andrew Schroeder - 2022 - Kennedy Institute of Ethics Journal 32 (1):33-67.
    Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound like (...)
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  • How to Philosophically Tackle Kinds without Talking About ‘Natural Kinds’.Ingo Brigandt - 2020 - Canadian Journal of Philosophy 52 (3):356-379.
    Recent rival attempts in the philosophy of science to put forward a general theory of the properties that all (and only) natural kinds across the sciences possess may have proven to be futile. Instead, I develop a general methodological framework for how to philosophically study kinds. Any kind has to be investigated and articulated together with the human aims that motivate referring to this kind, where different kinds in the same scientific domain can answer to different concrete aims. My core (...)
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  • Values, bias and replicability.Michał Sikorski - 2024 - Synthese 203 (164):1-25.
    The Value-free ideal of science (VFI) is a view that claims that scientists should not use non-epistemic values when they are justifying their hypotheses, and is widely considered to be obsolete in the philosophy of science. I will defend the ideal by demonstrating that acceptance of non-epistemic values, prohibited by VFI, necessitates legitimizing certain problematic scientific practices. Such practices, including biased methodological decisions or Questionable Research Practices (QRP), significantly contribute to the Replication Crisis. I will argue that the realizability of (...)
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  • Values in science: what are values, anyway?Kevin C. Elliott & Rebecca Korf - 2024 - European Journal for Philosophy of Science 14 (4):1-24.
    Although the philosophical literature on science and values has flourished in recent years, the central concept of “values” has remained ambiguous. This paper endeavors to clarify the nature of values as they are discussed in this literature and then highlights some of the major implications of this clarification. First, it elucidates four major concepts of values and discusses some of their strengths and weaknesses. Second, it clarifies the relationships between these concepts of values and a wide variety of related concepts (...)
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  • The value-ladenness of transparency in science: Lessons from Lyme disease.Kevin C. Elliott - 2021 - Studies in History and Philosophy of Science Part A 88 (C):1-9.
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  • 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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  • Diversifying science: comparing the benefits of citizen science with the benefits of bringing more women into science.S. Andrew Schroeder - 2022 - Synthese 200 (4):1-20.
    I compare two different arguments for the importance of bringing new voices into science: arguments for increasing the representation of women, and arguments for the inclusion of the public, or for “citizen science”. I suggest that in each case, diversifying science can improve the quality of scientific results in three distinct ways: epistemically, ethically, and politically. In the first two respects, the mechanisms are essentially the same. In the third respect, the mechanisms are importantly different. Though this might appear to (...)
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  • The Influence of Values on Medical Research.S. Andrew Schroeder - forthcoming - In Alex Broadbent, Oxford Handbook of Philosophy of Medicine. Oxford University Press.
    Mainstream views of medical research tell us it should be a fact-based, value-free endeavor: what a scientist (or her funding source) wants or cares about should not influence her findings. At the same time, we also sometimes criticize medical research for failing to embody certain values, e.g. when we criticize pharmaceutical companies for largely ignoring the diseases that affect the global poor. This chapter seeks to reconcile these perspectives by distinguishing appropriate from inappropriate influences of values on medical research. It (...)
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  • Engaging with science, values, and society: introduction.Ingo Brigandt - 2022 - Canadian Journal of Philosophy 52 (3):223-226.
    Philosophical work on science and values has come to engage with the concerns of society and of stakeholders affected by science and policy, leading to socially relevant philosophy of science and socially engaged philosophy of science. This special issue showcases instances of socially relevant philosophy of science, featuring contributions on a diversity of topics by Janet Kourany, Andrew Schroeder, Alison Wylie, Kristen Intemann, Joyce Havstad, Justin Biddle, Kevin Elliott, and Ingo Brigandt.
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  • Science as public service.Hannah Hilligardt - 2024 - European Journal for Philosophy of Science 14 (3):1-25.
    The problem this paper addresses is that scientists have to take normatively charged decisions which can have a significant impact on individual members of the public or the public as a whole. And yet mechanisms to exercise democratic control over them are often absent. Given the normative nature of these choices, this is often perceived to be at odds with basic democratic principles. I show that this problem applies in similar ways to civil service institutions and draw on political philosophy (...)
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  • Democratizing Expertise: The Epistemic Approach.Cathrine Holst - forthcoming - Social Epistemology.
    The article asks how contemporary expert arrangements should be (re-)designed in the face of calls for their democratization. To address this question, four philosophically grounded, ideal-type institutional proposals regarding the democracy–expertise relationship are introduced, compared, and assessed. The proposals are science in democracy – an approach primarily concerned with safeguarding independent scientific institutions positioned within a larger democratic system; direct democratization – an approach that focuses on expert arrangements more broadly and the need for direct measures of democratization; partisan expertise (...)
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  • Revising the Keystone Species Concept for Conservation: Value Neutrality and Non-Nativeness.Derek Halm - forthcoming - Ethics, Policy and Environment.
    The keystone species concept is often used in conservation. However, scientists and conservationists use the concept in many different ways. I suggest that a problem with the concept in conservation is not the lack of a shared definition. Instead, the problem is how the concept is applied to only certain species despite potentially covering a broader suite of species. This highlights unstated values in using the concept in conservation. I use novel examples, such as non-native Burmese pythons in Florida, to (...)
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  • Public Engagement with Science: Defining the Project.Angela Potochnik & Melissa Jacquart - 2025 - Cambridge University Press.
    'Public engagement with science' is gaining currency as the framing for outreach activities related to science. However, knowledge bearing on the topic is siloed in a variety of disciplines, and public engagement activities often are conducted without support from relevant theory or familiarity with related activities. This first Element in the Public Engagement with Science series sets the stage for the series by delineating the target of investigation, establishing the importance of cross-disciplinary collaboration and community partnerships for effective public engagement (...)
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