Results for 'Statist responsibility'

999 found
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  1.  43
    Statistically responsible artificial intelligences.Smith Nicholas & Darby Vickers - 2021 - Ethics and Information Technology 23 (3):483-493.
    As artificial intelligence becomes ubiquitous, it will be increasingly involved in novel, morally significant situations. Thus, understanding what it means for a machine to be morally responsible is important for machine ethics. Any method for ascribing moral responsibility to AI must be intelligible and intuitive to the humans who interact with it. We argue that the appropriate approach is to determine how AIs might fare on a standard account of human moral responsibility: a Strawsonian account. We make no (...)
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  2.  32
    National and statist responsibility.Jacob T. Levy - 2008 - Critical Review of International Social and Political Philosophy 11 (4):485-499.
    In this article, part of a symposium on David Miller's Global Justice and National Responsibility, I first focus on an area of disagreement: Miller‘s attempt to attribute to nations responsibility that I think ought to be generally attributed to states. I then sketch a theory that disregards nations more or less completely, and yet issues in a two-level theory like Miller‘s, sanctioning important differences between intrastate and interstate distribution. It is only like Miller‘s, because the distinction between states (...)
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  3.  40
    Responsible Research: What is Expected?: Commentary on: “Statistical Power, the Belmont Report, and the Ethics of Clinical Trials”.Stephanie J. Bird - 2010 - Science and Engineering Ethics 16 (4):693-696.
    Responsible research and good science are concepts with various meanings depending on one’s perspective and assumptions. Fellow researchers, research participants, policy makers and the general public also have differing expectations of the benefits of research ranging from accurate and reliable data that extend the body of knowledge, to solutions to societal concerns. Unless these differing constituencies articulate their differing views they may fail to communicate and undermine the value of research to society.
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  4.  24
    Statistical behavioristics and sequences of responses.George A. Miller & Frederick C. Frick - 1949 - Psychological Review 56 (6):311-324.
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  5.  26
    Responsible research: What is expected? Commentary on: “Statistical power, the Belmont report, and the ethics of clinical trials”.Stephanie J. Bird - 2010 - Science and Engineering Ethics 16 (4):693-696.
    “Responsible research” and “good science” are concepts with various meanings depending on one’s perspective and assumptions. Fellow researchers, research participants, policy makers and the general public also have differing expectations of the benefits of research ranging from accurate and reliable data that extend the body of knowledge, to solutions to societal concerns. Unless these differing constituencies articulate their differing views they may fail to communicate and undermine the value of research to society.
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  6. Counterfactuals, hypotheticals and potential responses: a philosophical examination of statistical causality.A. P. Dawid - 2007 - In Federica Russo & Jon Williamson (eds.), Causality and Probability in the Sciences. pp. 503--532.
     
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  7.  20
    Statistical learning and adaptive decision-making underlie human response time variability in inhibitory control.Ning Ma & Angela J. Yu - 2015 - Frontiers in Psychology 6.
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  8.  12
    Maternal stress predicts neural responses during auditory statistical learning in 26-month-old children: An event-related potential study.Lara J. Pierce, Erin Carmody Tague & Charles A. Nelson - 2021 - Cognition 213 (C):104600.
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  9.  9
    Decision-theoretic foundations for statistical causality: Response to Pearl.Philip Dawid - 2022 - Journal of Causal Inference 10 (1):296-299.
    I thank Judea Pearl for his discussion of my paper and respond to the points he raises. In particular, his attachment to unaugmented directed acyclic graphs has led to a misapprehension of my own proposals. I also discuss the possibilities for developing a non-manipulative understanding of causality.
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  10. Statistical resentment, or: what’s wrong with acting, blaming, and believing on the basis of statistics alone.David Enoch & Levi Spectre - 2021 - Synthese 199 (3-4):5687-5718.
    Statistical evidence—say, that 95% of your co-workers badmouth each other—can never render resenting your colleague appropriate, in the way that other evidence (say, the testimony of a reliable friend) can. The problem of statistical resentment is to explain why. We put the problem of statistical resentment in several wider contexts: The context of the problem of statistical evidence in legal theory; the epistemological context—with problems like the lottery paradox for knowledge, epistemic impurism and doxastic wrongdoing; and the context of a (...)
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  11.  20
    Assessment of auditory statistical learning by magnetic frequency tagged responses.Farthouat Juliane, Op De Beeck Marc, Mary Alison, Delpouve Julie, Leproult Rachel, Franco Ana, De Tiège Xavier & Peigneux Philippe - 2014 - Frontiers in Human Neuroscience 8.
  12.  53
    Statistics and ethics in medical research.David L. DeMets - 1999 - Science and Engineering Ethics 5 (1):97-117.
    Ethical conduct is an essential component in research, especially in medical research. Statistical methods for design and analysis are powerful research tools if used properly. Abuse of these principles and methods are just as unethical as other laboratory or clinical misconduct. Inadequate research design can produce worthless results and thus wastes effort and valuable resources. For clinical research, patient resources are wasted. Inappropriate analysis of data can also produce misleading results and conclusions. For clinical research, inferior therapy might be given (...)
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  13.  8
    Comment on: “Decision-theoretic foundations for statistical causality: Response to Shpitser”.Philip Dawid - 2022 - Journal of Causal Inference 10 (1):217-220.
    I thank Ilya Shpitser for his comments on my article, and discuss the use of models with restricted interventions.
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  14.  12
    The effect of order of approximation to the statistical structure of English on the emission of verbal responses.Kurt Salzinger, Stephanie Portnoy & Richard S. Feldman - 1962 - Journal of Experimental Psychology 64 (1):52.
  15.  38
    On objectivity and subjectivity in statistical inference: A response to Mayo.Peffrey A. Witmer & Murray K. Clayton - 1986 - Synthese 67 (2):369 - 379.
    In this paper we respond to the article An Objective Theory of Statistical Testing by D. G. Mayo (1983). We argue that the theory of testing developed by Mayo, NPT*, is neither novel nor objective. We also respond to the claims made by Mayo against Bayesian theory.
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  16.  78
    Mechanistic Slumber vs. Statistical Insomnia: The Early Phase of Boltzmann’s H-theorem (1868-1877).Massimiliano Badino - 2011 - European Physical Journal - H 36 (3):353-378.
    An intricate, long, and occasionally heated debate surrounds Boltzmann’s H-theorem (1872) and his combinatorial interpretation of the second law (1877). After almost a century of devoted and knowledgeable scholarship, there is still no agreement as to whether Boltzmann changed his view of the second law after Loschmidt’s 1876 reversibility argument or whether he had already been holding a probabilistic conception for some years at that point. In this paper, I argue that there was no abrupt statistical turn. In the first (...)
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  17. Error statistics and Duhem's problem.Gregory R. Wheeler - 2000 - Philosophy of Science 67 (3):410-420.
    No one has a well developed solution to Duhem's problem, the problem of how experimental evidence warrants revision of our theories. Deborah Mayo proposes a solution to Duhem's problem in route to her more ambitious program of providing a philosophical account of inductive inference and experimental knowledge. This paper is a response to Mayo's Error Statistics (ES) program, paying particular attention to her response to Duhem's problem. It turns out that Mayo's purported solution to Duhem's problem is very significant to (...)
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  18.  4
    Can Statism Help?Nenad Miščević - 2020 - Croatian Journal of Philosophy 20 (3):489-497.
    Can statism help with burning issues of the present time? The authors in the collection mostly answer affi rmatively; in their view states can successfully deal with their cosmopolitan responsibilities. In the discussion, we question this optimistic assumption, and suggest the need for a more supra-statist, cosmopolitan arrangement for solving the issues.
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  19.  99
    Statistical Models of Natural Images and Cortical Visual Representation.Aapo Hyvärinen - 2010 - Topics in Cognitive Science 2 (2):251-264.
    A fundamental question in visual neuroscience is: Why are the response properties of visual neurons as they are? A modern approach to this problem emphasizes the importance of adaptation to ecologically valid input, and it proceeds by modeling statistical regularities in ecologically valid visual input (natural images). A seminal model was linear sparse coding, which is equivalent to independent component analysis (ICA), and provided a very good description of the receptive fields of simple cells. Further models based on modeling residual (...)
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  20. A new statistical solution to the generality problem.Samuel Kampa - 2018 - Episteme 15 (2):228-244.
    The Generality Problem is widely recognized to be a serious problem for reliabilist theories of justification. James R. Beebe's Statistical Solution is one of only a handful of attempted solutions that has garnered serious attention in the literature. In their recent response to Beebe, Julien Dutant and Erik J. Olsson successfully refute Beebe's Statistical Solution. This paper presents a New Statistical Solution that countenances Dutant and Olsson's objections, dodges the serious problems that trouble rival solutions, and retains the theoretical virtues (...)
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  21.  43
    Dimension‐Based Statistical Learning Affects Both Speech Perception and Production.Matthew Lehet & Lori L. Holt - 2017 - Cognitive Science 41 (S4):885-912.
    Multiple acoustic dimensions signal speech categories. However, dimensions vary in their informativeness; some are more diagnostic of category membership than others. Speech categorization reflects these dimensional regularities such that diagnostic dimensions carry more “perceptual weight” and more effectively signal category membership to native listeners. Yet perceptual weights are malleable. When short-term experience deviates from long-term language norms, such as in a foreign accent, the perceptual weight of acoustic dimensions in signaling speech category membership rapidly adjusts. The present study investigated whether (...)
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  22.  52
    Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing.Barry J. Devereux, Kirsten I. Taylor, Billi Randall, Jeroen Geertzen & Lorraine K. Tyler - 2016 - Cognitive Science 40 (2):325-350.
    Understanding spoken words involves a rapid mapping from speech to conceptual representations. One distributed feature-based conceptual account assumes that the statistical characteristics of concepts’ features—the number of concepts they occur in and likelihood of co-occurrence —determine conceptual activation. To test these claims, we investigated the role of distinctiveness/sharedness and correlational strength in speech-to-meaning mapping, using a lexical decision task and computational simulations. Responses were faster for concepts with higher sharedness, suggesting that shared features are facilitatory in tasks like lexical decision (...)
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  23.  89
    Response to authors "The Road to Maxwell's Demon".Valia Allori - 2015 - International Studies in the Philosophy of Science 29 (1):94-98.
    I recently reviewed Hemmo and Shenker's book "The Road to Maxwell's Demon" and the authors subsequently replied to my criticism. Here is my response to them.
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  24.  50
    Précis of statistical significance: Rationale, validity, and utility.Siu L. Chow - 1998 - Behavioral and Brain Sciences 21 (2):169-194.
    The null-hypothesis significance-test procedure (NHSTP) is defended in the context of the theory-corroboration experiment, as well as the following contrasts: (a) substantive hypotheses versus statistical hypotheses, (b) theory corroboration versus statistical hypothesis testing, (c) theoretical inference versus statistical decision, (d) experiments versus nonexperimental studies, and (e) theory corroboration versus treatment assessment. The null hypothesis can be true because it is the hypothesis that errors are randomly distributed in data. Moreover, the null hypothesis is never used as a categorical proposition. Statistical (...)
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  25.  28
    The Statist Approach to the Philosophy of Immigration and the Problem of Statelessness.Stephen E. Mathis - 2018 - Global Justice : Theory Practice Rhetoric 11 (1).
    The issue of statelessness poses problems for the statist approach to the philosophy of immigration. Despite the fact that the statist approach claims to constrain the state’s right to exclude with human rights considerations, the arguments statists offer for the right of states to determine their own immigration policies would also justify citizenship rules that would render some children stateless. Insofar as rendering a child stateless is best characterized as a violation of human rights and insofar as some (...)
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  26.  42
    Foundations of probability theory, statistical inference, and statistical theories of science.W. Hooker, C., Harper (ed.) - 1975 - Springer.
    In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led (...)
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  27.  55
    Philosophical Statism and the Illusions of Citizenship. Reflections on the Neutral State.Frank Van Dun - 1995 - Philosophica 56.
    Is the welfare state neutral to personal morality?1 In today's welfare states one can find numerous life-styles existing side by side. These indicate a wide scope for 'personal moralities'2, but do not prove that the welfare state is 'neutral' to them. Welfare states interfere in more or less onerous ways with the business of (private) life with police checks, administrative controls and a vast arsenal of regulatory, penal and/or fiscal regimes. Some of the regulations may be more or less reasonable (...)
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  28.  7
    Global and Statist Egalitarianism and Their Woes.Daniel Kofman - 2010 - In Gabriele de Angelis & Diogo P. Aurelio (eds.), Sovereign Justice: Global Justice in a World of Nations. Walter de Gruyter. pp. 87-106.
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  29.  25
    The statistical theory of global population growth.Sergey P. Kapitza - 2003 - In J. B. Nation (ed.), Formal Descriptions of Developing Systems. Kluwer Academic Publishers. pp. 11--35.
    Of all global problems world population growth is the most significant. The growth of the number of people expresses the sum outcome of all economic, social and cultural activities that comprise human history. Demographic data in a concise and quantitative way describe this process in the past and present. By applying the concepts of nonlinear dynamics and synergetics, it is possible to work out a mathematical model for a phenomenological description of the global demographic process and project its trends into (...)
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  30.  77
    Integrating a Statistical Topic Model and a Diagnostic Classification Model for Analyzing Items in a Mixed Format Assessment.H. -J. Choi, Seohyun Kim, Allan S. Cohen, Jonathan Templin & Yasemin Copur-Gencturk - 2021 - Frontiers in Psychology 11.
    Selected response items and constructed response items are often found in the same test. Conventional psychometric models for these two types of items typically focus on using the scores for correctness of the responses. Recent research suggests, however, that more information may be available from the CR items than just scores for correctness. In this study, we describe an approach in which a statistical topic model along with a diagnostic classification model was applied to a mixed item format formative test (...)
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  31.  66
    Causation, Responsibility, and Typicality.Justin Sytsma - 2020 - Review of Philosophy and Psychology 12 (4):699-719.
    There is ample evidence that violations of injunctive norms impact ordinary causal attributions. This has struck some as deeply surprising, taking the ordinary concept of causation to be purely descriptive. Our explanation of the findings—the responsibility view—rejects this: we contend that the concept is in fact partly normative, being akin to concepts like responsibility and accountability. Based on this account, we predicted a very different pattern of results for causal attributions when an agent violates a statistical norm. And (...)
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  32.  57
    Responsibility in Universal Healthcare.Eric Cyphers & Arthur Kuflik - 2023 - Voices in Bioethics 9.
    Photo by Tingey Injury Law Firm on Unsplash ABSTRACT The coverage of healthcare costs allegedly brought about by people’s own earlier health-adverse behaviors is certainly a matter of justice. However, this raises the following questions: justice for whom? Is it right to take people’s past behaviors into account in determining their access to healthcare? If so, how do we go about taking those behaviors into account? These bioethical questions become even more complex when we consider them in the context of (...)
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  33.  19
    Decision-theoretic foundations for statistical causality.Philip Dawid - 2021 - Journal of Causal Inference 9 (1):39-77.
    We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT) statistical causality, which is a straightforward way of representing and addressing causal questions. DT reframes causal inference as “assisted decision-making” and aims to understand when, and how, I can make use of external data, typically observational, to help me solve a decision problem by taking advantage of assumed relationships between the data and my problem. The relationships embodied in any representation of a causal problem require deeper justification, (...)
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  34.  11
    A New Statistical Approach for fNIRS Hyperscanning to Predict Brain Activity of Preschoolers’ Using Teacher’s.Candida Barreto, Guilherme de Albuquerque Bruneri, Guilherme Brockington, Hasan Ayaz & Joao Ricardo Sato - 2021 - Frontiers in Human Neuroscience 15.
    Hyperscanning studies using functional Near-Infrared Spectroscopy have been performed to understand the neural mechanisms underlying human-human interactions. In this study, we propose a novel methodological approach that is developed for fNIRS multi-brain analysis. Our method uses support vector regression to predict one brain activity time series using another as the predictor. We applied the proposed methodology to explore the teacher-student interaction, which plays a critical role in the formal learning process. In an illustrative application, we collected fNIRS data of the (...)
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  35. Comment on Gignac and Zajenkowski, “The Dunning-Kruger effect is (mostly) a statistical artefact: Valid approaches to testing the hypothesis with individual differences data”.Avram Hiller - 2023 - Intelligence 97 (March-April):101732.
    Gignac and Zajenkowski (2020) find that “the degree to which people mispredicted their objectively measured intelligence was equal across the whole spectrum of objectively measured intelligence”. This Comment shows that Gignac and Zajenkowski’s (2020) finding of homoscedasticity is likely the result of a recoding choice by the experimenters and does not in fact indicate that the Dunning-Kruger Effect is a mere statistical artifact. Specifically, Gignac and Zajenkowski (2020) recoded test subjects’ responses to a question regarding self-assessed comparative IQ onto a (...)
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  36.  78
    Updating Probability: Tracking Statistics as Criterion.Bas C. van Fraassen & Joseph Y. Halpern - 2016 - British Journal for the Philosophy of Science:axv027.
    ABSTRACT For changing opinion, represented by an assignment of probabilities to propositions, the criterion proposed is motivated by the requirement that the assignment should have, and maintain, the possibility of matching in some appropriate sense statistical proportions in a population. This ‘tracking’ criterion implies limitations on policies for updating in response to a wide range of types of new input. Satisfying the criterion is shown equivalent to the principle that the prior must be a convex combination of the possible posteriors. (...)
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  37. Determinants of Corporate Social Responsibility Disclosure Ratings by Spanish Listed Firms.Carmelo Reverte - 2009 - Journal of Business Ethics 88 (2):351-366.
    The aim of this paper is to analyze whether a number of firm and industry characteristics, as well as media exposure, are potential determinants of corporate social responsibility (CSR) disclosure practices by Spanish listed firms. Empirical studies have shown that CSR disclosure activism varies across companies, industries, and time (Gray et al., Accounting, Auditing & Accountability Journal 8(2), 47–77, 1995; Journal of Business Finance & Accounting 28(3/4), 327–356, 2001; Hackston and Milne, Accounting, Auditing & Accountability Journal 9(1), 77–108, 1996; (...)
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  38.  9
    Updating Probability: Tracking Statistics as Criterion.Bas C. van Fraassen & Joseph Y. Halpern - 2017 - British Journal for the Philosophy of Science 68 (3):725-743.
    For changing opinion, represented by an assignment of probabilities to propositions, the criterion proposed is motivated by the requirement that the assignment should have, and maintain, the possibility of matching in some appropriate sense statistical proportions in a population. This ‘tracking’ criterion implies limitations on policies for updating in response to a wide range of types of new input. Satisfying the criterion is shown equivalent to the principle that the prior must be a convex combination of the possible posteriors. Furthermore, (...)
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  39.  10
    Enhanced Verbal Statistical Learning in Glossolalia.Szabolcs Kéri, Imre Kállai & Katalin Csigó - 2020 - Cognitive Science 44 (7):e12865.
    Glossolalia (“speaking in tongues”) is a rhythmic utterance of word‐like strings of sounds, regularly occurring in religious mass gatherings or various forms of private religious practices (e.g., prayer and meditation). Although specific verbal learning capacities may characterize glossolalists, empirical evidence is lacking. We administered three statistical learning tasks (artificial grammar, phoneme sequence, and visual‐response sequence) to 30 glossolalists and 30 matched control volunteers. In artificial grammar, participants decide whether pseudowords and sentences follow previously acquired implicit rules or not. In sequence (...)
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  40.  79
    Rejecting the New Statistical Solution to the Generality Problem.Jeffrey Tolly - 2021 - Episteme 18 (2):298-312.
    The generality problem is one of the most pressing challenges for process reliabilism about justification. Thus far, one of the more promising responses is James Beebe’s tri-level statistical solution. Despite the initial plausibility of Beebe’s approach, the tri-level statistical solution has been shown to generate implausible justification verdicts on a variety of cases. Recently, Samuel Kampa has offered a new statistical solution to the generality problem. Kampa argues that the new statistical solution overcomes the challenges that undermined Beebe’s original statistical (...)
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  41. Discussion: The Foundations of Statistical Mechanics—Questions and Answers.Amit Hagar - 2005 - Philosophy of Science 72 (3):468-478.
    Huw Price (1996, 2002, 2003) argues that causal-dynamical theories that aim to explain thermodynamic asymmetry in time are misguided. He points out that in seeking a dynamical factor responsible for the general tendency of entropy to increase, these approaches fail to appreciate the true nature of the problem in the foundations of statistical mechanics (SM). I argue that it is Price who is guilty of misapprehension of the issue at stake. When properly understood, causal-dynamical approaches in the foundations of SM (...)
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  42.  19
    Responsibility in Universal Healthcare.Eric Cyphers & Arthur Kuflik - 2023 - Voices in Bioethics 9.
    Photo by Tingey Injury Law Firm on Unsplash ABSTRACT The coverage of healthcare costs allegedly brought about by people’s own earlier health-adverse behaviors is certainly a matter of justice. However, this raises the following questions: justice for whom? Is it right to take people’s past behaviors into account in determining their access to healthcare? If so, how do we go about taking those behaviors into account? These bioethical questions become even more complex when we consider them in the context of (...)
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  43. Intuitive And Reflective Responses In Philosophy.Nick Byrd - 2014 - Dissertation, University of Colorado
    Cognitive scientists have revealed systematic errors in human reasoning. There is disagreement about what these errors indicate about human rationality, but one upshot seems clear: human reasoning does not seem to fit traditional views of human rationality. This concern about rationality has made its way through various fields and has recently caught the attention of philosophers. The concern is that if philosophers are prone to systematic errors in reasoning, then the integrity of philosophy would be threatened. In this paper, I (...)
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  44.  76
    Ethics and statistical methodology in clinical trials.C. R. Palmer - 1993 - Journal of Medical Ethics 19 (4):219-222.
    Statisticians in medicine can disagree on appropriate methodology applicable to the design and analysis of clinical trials. So called Bayesians and frequentists both claim ethical superiority. This paper, by defining and then linking together various dichotomies, argues there is a place for both statistical camps. The choice between them depends on the phase of clinical trial, disease prevalence and severity, but supremely on the ethics underlying the particular trial. There is always a tension present between physicians primarily obligated to their (...)
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  45.  38
    Algorithmic Fairness and Statistical Discrimination.John W. Patty & Elizabeth Maggie Penn - 2022 - Philosophy Compass 18 (1):e12891.
    Algorithmic fairness is a new interdisciplinary field of study focused on how to measure whether a process, or algorithm, may unintentionally produce unfair outcomes, as well as whether or how the potential unfairness of such processes can be mitigated. Statistical discrimination describes a set of informational issues that can induce rational (i.e., Bayesian) decision-making to lead to unfair outcomes even in the absence of discriminatory intent. In this article, we provide overviews of these two related literatures and draw connections between (...)
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  46.  27
    Non-response to sad mood induction: implications for emotion research.Jonathan Rottenberg, Maria Kovacs & Ilya Yaroslavsky - 2017 - Cognition and Emotion 32 (3):431-436.
    Experimental induction of sad mood states is a mainstay of laboratory research on affect and cognition, mood regulation, and mood disorders. Typically, the success of such mood manipulations is reported as a statistically significant pre- to post-induction change in the self-rated intensity of the target affect. The present commentary was motivated by an unexpected finding in one of our studies concerning the response rate to a well-validated sad mood induction. Using the customary statistical approach, we found a significant mean increase (...)
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  47.  33
    Response‐Dependence Theory and Empirical Claims for the Social Sciences.Steven I. Miller - 2006 - Metaphilosophy 37 (5):705-724.
    The analysis here is an attempt to show how the current epistemological theory of response‐dependence (R‐D) may be relevant to understanding putative ontological claims of the empirical social sciences. To this end I argue that the constitutive features of human response, central to R‐D theory, can be made explicit for social science. I conclude that for the empirical social sciences the implication of combining R‐D and certain forms of statistical analyses leads to the possibility of an events‐based ontology.
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  48. Privacy shakes Japan’s statistics on health & welfare.Kenji Matsui & Reidar Lie - 2007 - Eubios Journal of Asian and International Bioethics 17 (2):41-48.
    In 2005 Japan completed its first census after the Personal Information Protection Law went into force in April 2005. The debate about the new law raised privacy concerns for the first time among the public. The news-media also provided several examples of possible lack of safeguards in the data collection of sensitive personal information required for the census. The result was the highest non-response rate ever for the Japanese census. Consequently, its accuracy and role as a source for the reliable (...)
     
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  49.  44
    Responsible Leadership and Reputation Management During a Crisis: The Cases of Delta and United Airlines.Tulika M. Varma - 2020 - Journal of Business Ethics 173 (1):29-45.
    This study argues that actions taken during a crisis within the responsibility compass impacts reputation. The lens of responsible leadership was chosen from among the different foci of leadership scholarship because of its emphasis on relational and ethical dimensions. The focus of this study was the actions undertaken by the CEOs of United and Delta Airlines after the forceful removal of the passengers and its influence on the reputation capital as measured by the changes in the respective share prices (...)
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  50.  2
    Biology trumps statistics in the postgenomic era.Charles E. Glatt - 2012 - Behavioral and Brain Sciences 35 (5):366-367.
    Charney discusses the growing realization in the postgenomic era that genomic biology deviates from Mendelian assumptions at the heart of genetic heritability and association studies. Given the complexity of genomic biology, how are we to identify meaningful genetic factors that contribute to behavioral? One response is to make genetic variants the focus of biological rather than statistical analyses of behavior.
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