Results for 'Fairness '

959 found
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  1. The Fallacy of Many Questions.Frank Fair - 1973 - Southwestern Journal of Philosophy 4 (1):89-92.
    In this article I explore two accounts of the Fallacy of Many Questions made famous by the question "Have you stopped beating your wife?" The accounts are from the works of Lennart Aqvist and Noel Belnap, and the two authors differ in their accounts of the fallacy. Then I give my own account based on understanding a facet of erotetic logic, i. e., the logic of questions.
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  2. (1 other version)Socrates in the schools: Gains at three-year follow-up.Frank Fair, Lory E. Haas, Carol Gardoski, Daphne Johnson, Debra Price & Olena Leipnik - 2015 - Journal of Philosophy in Schools 2 (2).
    Three recent research reports by Topping and Trickey, by Fair and colleagues, and by Gorard, Siddiqui and Huat See have produced data that support the conclusion that a Philosophy for Children program of one-hour-per-week structured discussions has a marked positive impact on students. This article presents data from a follow up study done three years after the completion of the study reported in Fair et al.. The data show that the positive gains in scores on the Cognitive Abilities Test were (...)
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  3. Fairness, Free-Riding and Rainforest Protection.Chris Armstrong - 2016 - Political Theory 44 (1):106-130.
    If dangerous climate change is to be avoided, it is vital that carbon sinks such as tropical rainforests are protected. But protecting them has costs. These include opportunity costs: the potential economic benefits which those who currently control rainforests have to give up when they are protected. But who should bear those costs? Should countries which happen to have rainforests within their territories sacrifice their own economic development, because of our broader global interests in protecting key carbon sinks? This essay (...)
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  4. Fairness in Distributive Justice by 3- and 5-Year-Olds Across Seven Cultures.Philippe Rochat, Maria D. G. Dias, Guo Liping, Tanya Broesch, Claudia Passos-Ferreira, Ashley Winning & Britt Berg - 2009 - Journal of Cross-Cultural Psychology 40 (3):416-442.
    This research investigates 3- and 5-year-olds' relative fairness in distributing small collections of even or odd numbers of more or less desirable candies, either with an adult experimenter or between two dolls. The authors compare more than 200 children from around the world, growing up in seven highly contrasted cultural and economic contexts, from rich and poor urban areas, to small-scale traditional and rural communities. Across cultures, young children tend to optimize their own gain, not showing many signs of (...)
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  5. A Fair Distribution of Responsibility for Climate Adaptation -Translating Principles of Distribution from an International to a Local Context.Erik Persson, Kerstin Eriksson & Åsa Knaggård - 2021 - Philosophies 6 (3):68.
    Distribution of responsibility is one of the main focus areas in discussions about climate change ethics. Most of these discussions deal with the distribution of responsibility for climate change mitigation at the international level. The aim of this paper is to investigate if and how these principles can be used to inform the search for a fair distribution of responsibility for climate change adaptation on the local level. We found that the most influential distribution principles on the international level were (...)
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  6. Playing Fair and Following the Rules.Justin Tosi - 2017 - Journal of Moral Philosophy 14 (2):134-141.
    In his paper “Fairness, Political Obligation, and the Justificatory Gap” (published in the Journal of Moral Philosophy), Jiafeng Zhu argues that the principle of fair play cannot require submission to the rules of a cooperative scheme, and that when such submission is required, the requirement is grounded in consent. I propose a better argument for the claim that fair play requires submission to the rules than the one Zhu considers. I also argue that Zhu’s attribution of consent to people (...)
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  7. Fairness and the Strengths of Agents' Claims.Nathaniel Sharadin - 2016 - Utilitas 28 (3):347-360.
    John Broome has proposed a theory of fairness according to which fairness requires that agents’ claims to goods be satisfied in proportion to the relative strength of those claims. In the case of competing claims for a single indivisible good, Broome argues that what fairness requires is the use of a weighted lottery as a surrogate to satisfying the competing claims: the relative chance of each claimant's winning the lottery should be set to the relative strength of (...)
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  8. Fair equality of chances for prediction-based decisions.Michele Loi, Anders Herlitz & Hoda Heidari - forthcoming - Economics and Philosophy:1-24.
    This article presents a fairness principle for evaluating decision-making based on predictions: a decision rule is unfair when the individuals directly impacted by the decisions who are equal with respect to the features that justify inequalities in outcomes do not have the same statistical prospects of being benefited or harmed by them, irrespective of their socially salient morally arbitrary traits. The principle can be used to evaluate prediction-based decision-making from the point of view of a wide range of antecedently (...)
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  9. Fair machine learning under partial compliance.Jessica Dai, Sina Fazelpour & Zachary Lipton - 2021 - In Jessica Dai, Sina Fazelpour & Zachary Lipton (eds.), Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. pp. 55–65.
    Typically, fair machine learning research focuses on a single decision maker and assumes that the underlying population is stationary. However, many of the critical domains motivating this work are characterized by competitive marketplaces with many decision makers. Realistically, we might expect only a subset of them to adopt any non-compulsory fairness-conscious policy, a situation that political philosophers call partial compliance. This possibility raises important questions: how does partial compliance and the consequent strategic behavior of decision subjects affect the allocation (...)
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  10. The Fair Chances in Algorithmic Fairness: A Response to Holm.Clinton Castro & Michele Loi - 2023 - Res Publica 29 (2):231–237.
    Holm (2022) argues that a class of algorithmic fairness measures, that he refers to as the ‘performance parity criteria’, can be understood as applications of John Broome’s Fairness Principle. We argue that the performance parity criteria cannot be read this way. This is because in the relevant context, the Fairness Principle requires the equalization of actual individuals’ individual-level chances of obtaining some good (such as an accurate prediction from a predictive system), but the performance parity criteria do (...)
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  11. Fair infinite lotteries.Sylvia Wenmackers & Leon Horsten - 2013 - Synthese 190 (1):37-61.
    This article discusses how the concept of a fair finite lottery can best be extended to denumerably infinite lotteries. Techniques and ideas from non-standard analysis are brought to bear on the problem.
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  12. Making Fair Choices on the Path to Universal Health Coverage.Ole Frithjof Norheim, Trygve Ottersen, Bona Chitah, Richard Cookson, Norman Daniels, Nir Eyal, Walter Flores, Axel Gosseries, Daniel Hausman, Samia Hurst, Lydia Kapiriri, Toby Ord, Shlomi Segall, Frehiwot Defaye, Alex Voorhoeve & Alicia Yamin - 2014 - World Health Organisation.
    This report by the WHO Consultative Group on Equity and Universal Health Coverage addresses how countries can make fair progress towards the goal of universal coverage. It explains the relevant tradeoffs between different desirable ends and offers guidance on how to make these tradeoffs.
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  13. Algorithmic Fairness from a Non-ideal Perspective.Sina Fazelpour & Zachary C. Lipton - 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
    Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered (...)
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  14. Making fair choices on the path to universal health coverage: Final report of the WHO consultative group on equity and universal health coverage.World Health Organization - 2014 - World Health Organization.
    Universal health coverage (UHC) is at the center of current efforts to strengthen health systems and improve the level and distribution of health and health services. This document is the final report of the WHO Consultative Group on Equity and Universal Health Coverage. The report addresses the key issues of fairness and equity that arise on the path to UHC. As such, the report is relevant for every actor that affects that path and governments in particular, as they are (...)
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  15. Against fairness.Stephen T. Asma - 2013 - Chicago: University of Chicago Press.
    From the school yard to the workplace, there’s no charge more damning than “you’re being unfair!” Born out of democracy and raised in open markets, fairness has become our de facto modern creed. The very symbol of American ethics—Lady Justice—wears a blindfold as she weighs the law on her impartial scale. In our zealous pursuit of fairness, we have banished our urges to like one person more than another, one thing over another, hiding them away as dirty secrets (...)
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  16. Fair Subject Selection in Clinical and Social Scientific Research.Douglas MacKay - 2020 - In Ana S. Iltis & Douglas MacKay (eds.), The Oxford Handbook of Research Ethics. New York, NY, USA: Oxford University Press.
    This chapter provides a critical overview and interpretation of fair subject selection in clinical and social scientific research. It first provides an analytical framework for thinking about the problem of fair subject selection. It then argues that fair subject selection is best understood as a set of four subprinciples, each with normative force and each with distinct and often conflicting implications for the selection of participants: fair inclusion, fair burden sharing, fair opportunity, and fair distribution of third-party risks. It then (...)
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    Multiplicative Metric Fairness Under Composition.Milan Mossé - 2023 - Symposium on Foundations of Responsible Computing 4.
    Dwork, Hardt, Pitassi, Reingold, & Zemel [6] introduced two notions of fairness, each of which is meant to formalize the notion of similar treatment for similarly qualified individuals. The first of these notions, which we call additive metric fairness, has received much attention in subsequent work studying the fairness of a system composed of classifiers which are fair when considered in isolation [3, 4, 7, 8, 12] and in work studying the relationship between fair treatment of individuals (...)
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  18. A Fair Play Account of Legitimate Political Authority.Justin Tosi - 2017 - Legal Theory 23 (1):55-67.
    There is an emerging consensus among political philosophers that state legitimacy involves something more than—or perhaps other than—political obligation. Yet the principle of fair play, which many take to be a promising basis for political obligation, has been largely absent from discussions of the revised conception of legitimacy. This paper shows how the principle of fair play can generate legitimate political authority by drawing on a neglected feature of the principle—its stipulation that members of a cooperative scheme must reciprocate specifically (...)
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  19. Fairness and the Architecture of Responsibility.David Brink & Dana Nelkin - 2013 - Oxford Studies in Agency and Responsibility 1:284-313.
    This essay explores a conception of responsibility at work in moral and criminal responsibility. Our conception draws on work in the compatibilist tradition that focuses on the choices of agents who are reasons-responsive and work in criminal jurisprudence that understands responsibility in terms of the choices of agents who have capacities for practical reason and whose situation affords them the fair opportunity to avoid wrongdoing. Our conception brings together the dimensions of normative competence and situational control, and we factor normative (...)
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  20. Acceptance, fairness, and political obligation.Edward Song - 2012 - Legal Theory 18 (2):209-229.
    Among the most popular strategies for justifying political obligations are those that appeal to the principle of fairness. These theories face the challenge, canonically articulated by Robert Nozick, of explaining how it is that persons are obligated to schemes when they receive goods that they do not ask for but cannot reject. John Simmons offers one defense of the principle of fairness, arguing that people could be bound by obligations of fairness if they voluntarily accept goods produced (...)
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  21. Rescuing fair-play as a justification for punishment.Matt K. Stichter - 2010 - Res Publica 16 (1):73-81.
    The debate over whether ‘fair-play’ can serve as a justification for legal punishment has recently resumed with an exchange between Richard Dagger and Antony Duff. According to the fair-play theorist, criminals deserve punishment for breaking the law because in so doing the criminal upsets a fair distribution of benefits and burdens, and punishment rectifies this unfairness. Critics frequently level two charges against this idea. The first is that it often gives the wrong explanation of what makes crime deserving of punishment, (...)
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  22. Making Fair Choices on the Path to Universal Health Coverage: A Precis.Alex Voorhoeve, Trygve Ottersen & Ole Frithjof Norheim - 2016 - Health Economics, Policy and Law 11 (1):71-77.
    We offer a summary of the WHO Report "Making Fair Choices on the Path to Universal Health Coverage".
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  23. Four Faces of Fair Subject Selection.Katherine Witte Saylor & Douglas MacKay - 2020 - American Journal of Bioethics 20 (2):5-19.
    Although the principle of fair subject selection is a widely recognized requirement of ethical clinical research, it often yields conflicting imperatives, thus raising major ethical dilemmas regarding participant selection. In this paper, we diagnose the source of this problem, arguing that the principle of fair subject selection is best understood as a bundle of four distinct sub-principles, each with normative force and each yielding distinct imperatives: (1) fair inclusion; (2) fair burden sharing; (3) fair opportunity; and (4) fair distribution of (...)
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  24. Fair Allocation of GLP-1 and Dual GLP-1-GIP Receptor Agonists.Ezekiel J. Emanuel, Johan L. Dellgren, Matthew S. McCoy & Govind Persad - forthcoming - New England Journal of Medicine.
    Glucagon-like peptide-1 (GLP-1) receptor agonists, such as semaglutide, and dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonists, such as tirzepatide, have been found to be effective for treating obesity and diabetes, significantly reducing weight and the risk or predicted risk of adverse cardiovascular events. There is a global shortage of these medications that could last several years and raises questions about how limited supplies should be allocated. We propose a fair-allocation framework that enables evaluation of the ethics of current (...)
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  25. The Fair Value of Economic Liberty.Daniel M. Layman - 2015 - Res Publica 21 (4):413-428.
    In Free Market Fairness, John Tomasi tries to show that ‘thick’ economic liberties, including the right to own productive property, are basic liberties. According to Tomasi, the policy-level consequences of protecting economic liberty as basic are essentially libertarian in character. I argue that if economic liberties are basic, just societies must guarantee their fair value to all citizens. And in order to secure the fair value of economic liberty, states must guarantee that citizens of roughly similar dispositions and talents (...)
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  26. Fairness as Equal Concession: Critical Remarks on Fair AI.Christopher Yeomans & Ryan van Nood - 2021 - Science and Engineering Ethics 27 (6):1-14.
    Although existing work draws attention to a range of obstacles in realizing fair AI, the field lacks an account that emphasizes how these worries hang together in a systematic way. Furthermore, a review of the fair AI and philosophical literature demonstrates the unsuitability of ‘treat like cases alike’ and other intuitive notions as conceptions of fairness. That review then generates three desiderata for a replacement conception of fairness valuable to AI research: (1) It must provide a meta-theory for (...)
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  27. Procedural Fairness in Exchange Matching Systems.Gil Hersch - 2022 - Journal of Business Ethics 188 (2):367-377.
    The move from open outcry to electronic trading added another responsibility to futures exchanges—that of matching orders between buyers and sellers. Matching systems can affect the level and speed of price discovery, the distribution of revenue, as well as the level of price efficiency of a given market. Whether the matching system is procedurally fair is another important consideration. I argue that while FIFO (First In First Out) is a fair procedure in principle and is perceived as the default matching (...)
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  28. Fair Terms of Social Cooperation Among Equals.Michael Otsuka - forthcoming - Journal of Practical Ethics.
    Rawlsian justice as fairness is neither fundamentally luck egalitarian nor relational egalitarian. Rather, the most fundamental idea is that of society as a fair system of cooperation. Collective pensions provide a case study which illustrates the fruitfulness of conceiving justice in these latter terms. Those who have recently reached the age of majority do not now know how long they will live in retirement or how well any investments they try to save up for their retirement would fare. From (...)
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  29. Adversarial Sampling for Fairness Testing in Deep Neural Network.Tosin Ige, William Marfo, Justin Tonkinson, Sikiru Adewale & Bolanle Hafiz Matti - 2023 - International Journal of Advanced Computer Science and Applications 14 (2).
    In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given dataset. While several framework had been proposed to ensure robustness of machine learning model against adversarial attack, some of which includes adversarial training algorithm. There is still the pitfall that adversarial training algorithm tends to cause disparity in accuracy and robustness among different group. Our research is aimed (...)
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  30. Liberty, Fairness and the ‘Contribution Model’ for Non-medical Vaccine Exemption Policies: A Reply to Navin and Largent.Giubilini Alberto, Douglas Thomas & Savulescu Julian - 2017 - Public Health Ethics 10 (3).
    In a paper recently published in this journal, Navin and Largent argue in favour of a type of policy to regulate non-medical exemptions from childhood vaccination which they call ‘Inconvenience’. This policy makes it burdensome for parents to obtain an exemption to child vaccination, for example, by requiring parents to attend immunization education sessions and to complete an application form to receive a waiver. Navin and Largent argue that this policy is preferable to ‘Eliminationism’, i.e. to policies that do not (...)
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  31. Fairness, Sanction, and Condemnation.Pamela Hieronymi - 2021 - In David Shoemaker (ed.), Oxford Studies in Agency and Responsibility. Oxford University Press. pp. 229-258.
    I here press an often overlooked question: Why does the fairness of a sanction require an adequate opportunity to avoid it? By pressing this question, I believe I have come to better understand something that has long puzzled me, namely, what philosophers (and others) might have in mind when they talk about “true moral responsibility,” or the “condemnatory force” of moral blame, or perhaps even “basic desert.” In presenting this understanding of “condemnation” or of “basic desert,” I am presenting (...)
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  32. Eine faire Lösung des Klimaproblems.Olaf L. Müller - 2011 - Information Philosophie 39 (2):91-98.
    Zwar wissen wir nicht objektiv und wertfrei, wieviel CO2 wir der Atmosphäre noch aufbürden dürfen, bevor es zur Katastrophe kommt. Doch für behutsame, vorsorgliche Leute steht fest, dass das Klimaproblem die Menschheit bedroht. (In dieser Aussage vermengen sich unentwirrbar deskriptive und evaluative Komponenten – was uns im Lichte der neueren Metaethik nicht zu wundern braucht). Wie müsste eine faire Lösung des Klimaproblems aussehen? Wie sollten wir Pflichten und finanzielle Lasten der nötigen CO2-Reduktionen verteilen, wenn es dabei gerecht zugehen soll? In (...)
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  33. Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.
    Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as biased. While researchers have (...)
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  34. A Fairness Doctrine for the Twenty-First Century.Julian Friedland - 2021 - Areo.
    Michael Goldhaber, who popularized the term the attention economy, said of the US Capitol insurrection: “It felt like an expression of a world in which everyone is desperately seeking their own audience and fracturing reality in the process. I only see that accelerating.” If we don’t do something about this, American democracy may not survive. For when there is no longer any common ground of evidence and reason, history shows that misinformation will eventually overwhelm public discourse and authoritarianism can take (...)
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  35. (1 other version)Algorithmic fairness in mortgage lending: from absolute conditions to relational trade-offs.Michelle Seng Ah Lee & Luciano Floridi - 2020 - Minds and Machines 31 (1):165-191.
    To address the rising concern that algorithmic decision-making may reinforce discriminatory biases, researchers have proposed many notions of fairness and corresponding mathematical formalizations. Each of these notions is often presented as a one-size-fits-all, absolute condition; however, in reality, the practical and ethical trade-offs are unavoidable and more complex. We introduce a new approach that considers fairness—not as a binary, absolute mathematical condition—but rather, as a relational notion in comparison to alternative decisionmaking processes. Using US mortgage lending as an (...)
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  36. Fairness and Fair Shares.Keith Horton - 2011 - Utilitas 23 (1):88-93.
    Some moral principles require agents to do more than their fair share of a common task, if others won’t do their fair share – each agent’s fair share being what they would be required to do if all contributed as they should. This seems to provide a strong basis for objecting to such principles. For it seems unfair to require agents who have already done their fair share to do more, just because other agents won’t do their fair share. The (...)
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  37. Fairness as “Appropriate Impartiality” and the Problem of the Self-Serving Bias.Charlotte Newey - 2016 - Ethical Theory and Moral Practice 19 (3):695-709.
    Garrett Cullity contends that fairness is appropriate impartiality (See Cullity (2004) Chapters 8 and 10 and Cullity (2008)). Cullity deploys his account of fairness as a means of limiting the extreme moral demand to make sacrifices in order to aid others that was posed by Peter Singer in his seminal article ‘Famine, Affluence and Morality’. My paper is founded upon the combination of (1) the observation that the idea that fairness consists in appropriate impartiality is very vague (...)
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  38. Algorithmic Indirect Discrimination, Fairness, and Harm.Frej Klem Thomsen - 2023 - AI and Ethics.
    Over the past decade, scholars, institutions, and activists have voiced strong concerns about the potential of automated decision systems to indirectly discriminate against vulnerable groups. This article analyses the ethics of algorithmic indirect discrimination, and argues that we can explain what is morally bad about such discrimination by reference to the fact that it causes harm. The article first sketches certain elements of the technical and conceptual background, including definitions of direct and indirect algorithmic differential treatment. It next introduces three (...)
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  39. The force and fairness of blame.Pamela Hieronymi - 2004 - Philosophical Perspectives 18 (1):115–148.
    In this paper I consider fairness of blaming a wrongdoer. In particular, I consider the claim that blaming a wrongdoer can be unfair because blame has a certain characteristic force, a force which is not fairly imposed upon the wrongdoer unless certain conditions are met--unless, e.g., the wrongdoer could have done otherwise, or unless she is someone capable of having done right, or unless she is able to control her behavior by the light of moral reasons. While agreeing that (...)
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  40. Fairness to goodness.John Rawls - 1975 - Philosophical Review 84 (4):536-554.
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  41. Fairness and risk attitudes.Richard Bradley & Stefánsson H. Orri - 2023 - Philosophical Studies 180 (10-11):3179-3204.
    According to a common judgement, a social planner should often use a lottery to decide which of two people should receive a good. This judgement undermines one of the best-known arguments for utilitarianism, due to John C. Harsanyi, and more generally undermines axiomatic arguments for utilitarianism and similar views. In this paper we ask which combinations of views about (a) the social planner’s attitude to risk and inequality, and (b) the subjects’ attitudes to risk are consistent with the aforementioned judgement. (...)
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  42. Equality, Fairness, and Responsibility in an Unequal World.Thom Brooks - 2014 - Symposion: Theoretical and Applied Inquiries in Philosophy and Social Sciences 1 (2):147-153.
    Severe poverty is a major global problem about risk and inequality. What, if any, is the relationship between equality, fairness and responsibility in an unequal world? I argue for four conclusions. The first is the moral urgency of severe poverty. We have too many global neighbours that exist in a state of emergency and whose suffering is intolerable. The second is that severe poverty is a problem concerning global injustice that is relevant, but not restricted, to questions about responsibility. (...)
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  43. New Possibilities for Fair Algorithms.Michael Nielsen & Rush T. Stewart - forthcoming - Philosophy and Technology.
    We introduce a fairness criterion that we call Spanning. Spanning i) is implied by Calibration, ii) retains interesting properties of Calibration that some other ways of relaxing that criterion do not, and iii) unlike Calibration and other prominent ways of weakening it, is consistent with Equalized Odds outside of trivial cases.
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  44. Environmental Activism and the Fairness of Costs Argument for Uncivil Disobedience.Ten-Herng Lai & Chong-Ming Lim - 2023 - Journal of the American Philosophical Association 9 (3):490-509.
    Social movements often impose nontrivial costs on others against their wills. Civil disobedience is no exception. How can social movements in general, and civil disobedience in particular, be justifiable despite this apparent wrong-making feature? We examine an intuitively plausible account—it is fair that everyone should bear the burdens of tackling injustice. We extend this fairness-based argument for civil disobedience to defend some acts of uncivil disobedience. Focusing on uncivil environmental activism—such as ecotage (sabotage with the aim of protecting the (...)
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  45. Lying, Misleading, and Fairness.Emanuel Viebahn - 2022 - Ethics 132 (3):736-751.
    Sam Berstler defends a general moral advantage for misleading over lying by arguing that liars, but not misleaders, act unfairly toward the other members of their linguistic community. This article spells out three difficulties for Berstler’s account. First, though Berstler aims to avoid an error theory, it is dubitable that her account fits with intuitions on the matter. Second, there are some lies that do not exhibit the unfairness Berstler identifies. Third, fairness is not the only morally relevant difference (...)
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  46. Algorithmic Fairness and Structural Injustice: Insights from Feminist Political Philosophy.Atoosa Kasirzadeh - 2022 - Aies '22: Proceedings of the 2022 Aaai/Acm Conference on Ai, Ethics, and Society.
    Data-driven predictive algorithms are widely used to automate and guide high-stake decision making such as bail and parole recommendation, medical resource distribution, and mortgage allocation. Nevertheless, harmful outcomes biased against vulnerable groups have been reported. The growing research field known as 'algorithmic fairness' aims to mitigate these harmful biases. Its primary methodology consists in proposing mathematical metrics to address the social harms resulting from an algorithm's biased outputs. The metrics are typically motivated by -- or substantively rooted in -- (...)
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  47. Aerosol Geoengineering Deployment and Fairness.Toby Svoboda - 2016 - Environmental Values 25 (1):51-68.
    If deployed, aerosol geoengineering (AG) could involve unfairness to both present and future parties. I discuss three broad risks of unfairness that an AG deployment policy might carry: (1) causing disproportionate harm to those least responsible for climate change, (2) burdening future parties with the costs and risks of AG, and (3) excluding some interested parties from contributing to AG decision-making. Yet despite these risks, it may be too hasty to reject AG deployment as a potential climate change policy. I (...)
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  48. Fair Innings and Time-Relative Claims.Ben Davies - 2015 - Bioethics 30 (6):462-468.
    Greg Bognar has recently offered a prioritarian justification for ‘fair innings’ distributive principles that would ration access to healthcare on the basis of patients' age. In this article, I agree that Bognar's principle is among the strongest arguments for age-based rationing. However, I argue that this position is incomplete because of the possibility of ‘time-relative' egalitarian principles that could complement the kind of lifetime egalitarianism that Bognar adopts. After outlining Bognar's position, and explaining the attraction of time-relative egalitarianism, I suggest (...)
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  49. On algorithmic fairness in medical practice.Thomas Grote & Geoff Keeling - 2022 - Cambridge Quarterly of Healthcare Ethics 31 (1):83-94.
    The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, diagnosis, and treatment, of medical conditions. However, there is growing concern that algorithmic bias may perpetuate or exacerbate existing health inequalities. Hence, it matters that we make precise the different respects in which algorithmic bias can arise in medicine, and also make clear the normative relevance of these different kinds of algorithmic bias for broader questions about justice and fairness in (...)
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  50. A fair exchange: why living kidney donors in England should be financially compensated.Daniel Rodger & Bonnie Venter - 2023 - Medicine, Health Care and Philosophy 26 (4):625-634.
    Every year, hundreds of patients in England die whilst waiting for a kidney transplant, and this is evidence that the current system of altruistic-based donation is not sufficient to address the shortage of kidneys available for transplant. To address this problem, we propose a monopsony system whereby kidney donors can opt-in to receive financial compensation, whilst still preserving the right of individuals to donate without receiving any compensation. A monopsony system describes a market structure where there is only one ‘buyer’—in (...)
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