In this introduction, I briefly summarize Sophia Moreau's Faces of Inequality. I situate her monograph within two highly contemporary bodies of literature — relational egalitarianism and discrimination theory — to show how it provides important insights for understanding both what it means to treat others as equals in society and how to define wrongful discrimination. Moreau's work on discrimination is of great relevance for philosophers and socio-legal theorists alike as the commentaries from the symposium contributors demonstrate, including Dale Smith, Pablo (...) Gilabert, Andrea Sangiovanni, Daniel Viehoff, Jessica Eisen, Alysia Blackham, and Iyiola Solanke. (shrink)

People often discriminate based on negative or positive stereotypes about others. Important examples of this are highlighted by the theory of ambivalent sexism. This theory distinguishes sexist stereotypes that are negative (hostile sexism) from those that are positive (benevolent sexism). While both forms of sexism are considered wrong towards women, hostile sexism seems intuitively worse than benevolent sexism. In this article, we ask whether the difference between discriminating based on positive vs. negative stereotypes in itself makes a morally relevant difference. (...) We suggest that it does not. By examining a number of prominent accounts of what makes discrimination wrong, we defend the Moral Irrelevance View according to which stereotype valence is irrelevant to the moral evaluation of discrimination, all else equal. (shrink)

Employers sometimes use personality tests in hiring or specifically look for candidates with certain personality traits such as being social, outgoing, active, and extraverted. Therefore, they hire based on personality, specifically extraversion in part at least. The question arises whether this practice is morally permissible. We argue that, in a range of cases, it is not. The common belief is that, generally, it is not permissible to hire based on sex or race, and the wrongness of such hiring practices is (...) based on two widely accepted principles: the Relevance Principle and the Fairness Principle. The Relevance Principle states that hiring should be based on what is relevant to job performance, while the Fairness Principle states that hiring should be based on features that individuals can control. Since hiring based on sex or race violates these principles, it is wrong. However, we argue that, in a range of cases, hiring based on extraversion also violates these principles, and assuming the validity of the Relevance and the Fairness Principles, it follows that personality discrimination is morally wrong in those cases. (shrink)

The aim of this article is to consider whether, when, and why it is morally right to treat members of socially disadvantaged racial or ethnic groups favorably when allocating scarce medical resources. Since the COVID 2019 pandemic has had different impacts on racial and ethnic groups, some U.S. states have given racial and ethnic minorities preferential access to COVID-19 vaccines, leading to controversy over the moral and legal permissibility of doing so. I examine three arguments for affirmative action—the compensation, equality-of-opportunity, (...) and antidiscrimination arguments—and argue that both the equality-of-opportunity and antidiscrimination arguments have the potential to provide well-founded justification for race-based affirmative action for the allocation of scarce medical resources. I also consider further moral requirements that instances of affirmative action based on both or either of the two arguments should comply with for them to be justified. (shrink)

The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely discussed, the way that those systems arrive at their outputs is often opaque, even to the experts (...) who design and deploy them. Is it morally problematic to make use of opaque automated methods when making high-stakes decisions, like whether to issue a loan to an applicant, or whether to approve a parole request? Many scholars answer in the affirmative. However, there is no widely accepted explanation for why transparent systems are morally preferable to opaque systems. We argue that the use of automated decision-making systems sometimes violates duties of consideration that are owed by decision-makers to decision-subjects, duties that are both epistemic and practical in character. Violations of that kind generate a weighty consideration against the use of opaque decision systems. In the course of defending our approach, we show that it is able to address three major challenges sometimes leveled against attempts to defend the moral import of transparency in automated decision-making. (shrink)

How should we interpret the popular objection that stigmatised subjects are not treated as individuals? The Eidelson View claims that stigma, because of its connection to stereotypes, violates an instance of the general requirement to respect autonomy. The Self-Presentation View claims that stigma inhibits the functioning of certain morally important capacities, notably the capacity for self-presentation. I argue that even if we are right to think that stigma violates a requirement to respect autonomy, this is insufficient to account for the (...) full weight of the charge that stigmatised subjects are not treated as individuals. We need the Self-Presentation View to explain a special threat to agency. I then address the worry that focusing on a concern with being treated as individuals opens the door to the suggestion that treating as superior can be just as morally troubling as stigma. This objection is fatal for the Eidelson View. But the Self-Presentation View has a number of resources for deflating the worry. We should not exclude the possibility of a moral symmetry between some cases of stigma and some cases of treating as superior. Rather, we should provide a nuanced account of the circumstances in which either phenomenon is detrimental for self-presentation. (shrink)

This article investigates the hitherto under-examined relations between affirmative action, paternalism and respect. We provide three main arguments. First, we argue that affirmative action initiatives are typically paternalistic and thus disrespectful towards those intended beneficiaries who oppose the initiatives in question. Second, we argue that not introducing affirmative action can also be disrespectful towards these potential beneficiaries because such inaction involves a failure to adequately recognize their moral worth. Third, we argue that the paternalistic disrespect involved in affirmative action is (...) alleviated when the potential beneficiaries’ preferences against such initiatives are adaptive. We conclude that although there is a relevant sense in which paternalistic affirmative action is disrespectful, it may well be more disrespectful not to pursue such policies. (shrink)

Algorithmic discrimination has rapidly become a topic of intense public and academic interest. This article explores three issues raised by algorithmic discrimination: 1) the distinction between direct and indirect discrimination, 2) the notion of disadvantageous treatment, and 3) the moral badness of discriminatory automated decision-making. It argues that some conventional distinctions between direct and indirect discrimination appear not to apply to algorithmic discrimination, that algorithmic discrimination may often be discrimination between groups, as opposed to against groups, and that it is (...) not necessarily the case that morally bad algorithmic discrimination gives us reason to not use automated decision-making. For each of the three issues, the article explores implications for algorithmic discrimination, suggests some alternative answers, and clarifies how we may want to think of discrimination more broadly in light of lessons drawn from the context of algorithmic discrimination. (shrink)

Over the years, phenomenology has provided illuminating descriptions of discrimination, with its mechanisms and effects being thematised at the most basic levels of embodiment, (dis)orientation, selfhood, and belonging. What remains somewhat understudied is the lived experience of the discriminator. In this paper I draw on Husserl's phenomenological account of normality to reflect on the ways in which we discriminate at the prereflective levels of perceptual experience and bodily being. By critically reflecting on the intentional structures undergirding discriminatory practices, I argue (...) that discrimination is characteristic of a naïve normalising attitude which is habitually interested in securing a familiar experience of a static normality. I first demonstrate how this attitude problematically tends to reproduce, enforce, and further sediment discriminatory and exclusionary norms. Further, I provide an internal critique which problematises discrimination—without recourse to external normative standards—on three fronts: as epistemically unproductive, experientially obscuring, and normatively non-instantiating. In discriminatory acts we see an abnormal refusal to enrich, revise, and genetically establish new normative commitments, new ways of seeing, and a new normality. (shrink)

Mary Kate McGowan’s Just Words offers an interesting account of exercitives. On McGowan’s view, one of the things we do with words is change what’s permitted, and we do this ubiquitously, without any special authority or specific intention. McGowan’s account of exercitives is meant to identify a mechanism by which ordinary speech is harmful, and which justifies the regulation of such speech. It is here that I part ways. I make three main arguments. First, McGowan’s focus on harm is misguided; (...) that ordinary speech is harmful is harder to support, and in turn does not less to support conclusions about whether it is wrong and warrants regulation, than Just Words suggests. Second, if the speech is harmful, McGowan’s account of exercitives is ill-suited to explain why; the relevant instances of ordinary speech seem to express speakers’ views about moral norms, not change social norms. Third, McGowan’s argument for why ordinary speech should be regulated because it is a form of discrimination presupposes a great deal that is controversial about what makes discrimination wrong and legally actionable, and even if it is right it may license the regulation of more speech than many, including McGowan, would deem acceptable. (shrink)

One of the main questions Gillian Brock takes up in Justice for People on the Move (2020) is whether it is morally permissible for states to enact migration policies that discriminate on the basis of religion against those who wish to enter. The main focus of her discussion is on the United States context, and, in particular, the so-called ‘Muslim Ban’ enacted by President Donald Trump in 2017. While Brock offers a powerful critique of this policy, I argue that it (...) is insufficient on its own to support her claim that migration policies that discriminate on the basis of religion in general undermine the legitimacy of the states that enact them. I argue that this claim can be supported within her framework by showing that such policies necessarily display disregard for the human rights of existing members of the discriminating state. I conclude with some reflections on the strength of this account of the moral impermissibility of religious discrimination at the border. (shrink)

The increasing implementation of and reliance on machine-learning (ML) algorithms to perform tasks, deliver services and make decisions in health and healthcare have made the need for fairness in ML, and more specifically in healthcare ML algorithms (HMLA), a very important and urgent task. However, while the debate on fairness in the ethics of artificial intelligence (AI) and in HMLA has grown significantly over the last decade, the very concept of fairness as an ethical value has not yet been sufficiently (...) explored. Our paper aims to fill this gap and address the AI ethics principle of fairness from a conceptual standpoint, drawing insights from accounts of fairness elaborated in moral philosophy and using them to conceptualise fairness as an ethical value and to redefine fairness in HMLA accordingly. To achieve our goal, following a first section aimed at clarifying the background, methodology and structure of the paper, in the second section, we provide an overview of the discussion of the AI ethics principle of fairness in HMLA and show that the concept of fairness underlying this debate is framed in purely distributive terms and overlaps with non-discrimination, which is defined in turn as the absence of biases. After showing that this framing is inadequate, in the third section, we pursue an ethical inquiry into the concept of fairness and argue that fairness ought to be conceived of as an ethical value. Following a clarification of the relationship between fairness and non-discrimination, we show that the two do not overlap and that fairness requires much more than just non-discrimination. Moreover, we highlight that fairness not only has a distributive but also a socio-relational dimension. Finally, we pinpoint the constitutive components of fairness. In doing so, we base our arguments on a renewed reflection on the concept of respect, which goes beyond the idea of equal respect to include respect for individual persons. In the fourth section, we analyse the implications of our conceptual redefinition of fairness as an ethical value in the discussion of fairness in HMLA. Here, we claim that fairness requires more than non-discrimination and the absence of biases as well as more than just distribution; it needs to ensure that HMLA respects persons both as persons and as particular individuals. Finally, in the fifth section, we sketch some broader implications and show how our inquiry can contribute to making HMLA and, more generally, AI promote the social good and a fairer society. (shrink)

Fairness is one of the most prominent values in the Ethics and Artificial Intelligence (AI) debate and, specifically, in the discussion on algorithmic decision-making (ADM). However, while the need for fairness in ADM is widely acknowledged, the very concept of fairness has not been sufficiently explored so far. Our paper aims to fill this gap and claims that an ethically informed re-definition of fairness is needed to adequately investigate fairness in ADM. To achieve our goal, after an introductory section aimed (...) at clarifying the aim and structure of the paper, in section “Fairness in algorithmic decision-making” we provide an overview of the state of the art of the discussion on fairness in ADM and show its shortcomings; in section “Fairness as an ethical value”, we pursue an ethical inquiry into the concept of fairness, drawing insights from accounts of fairness developed in moral philosophy, and define fairness as an ethical value. In particular, we argue that fairness is articulated in a distributive and socio-relational dimension; it comprises three main components: fair equality of opportunity, equal right to justification, and fair equality of relationship; these components are grounded in the need to respect persons both as persons and as particular individuals. In section “Fairness in algorithmic decision-making revised”, we analyze the implications of our redefinition of fairness as an ethical value on the discussion of fairness in ADM and show that each component of fairness has profound effects on the criteria that ADM ought to meet. Finally, in section “Concluding remarks”, we sketch some broader implications and conclude. (shrink)

Journal of Political Philosophy, EarlyView.

This study concerns the sociotechnical bases of human autonomy. Drawing on recent literature on AI ethics, philosophical literature on dimensions of autonomy, and on independent philosophical scrutiny, we first propose a multi-dimensional model of human autonomy and then discuss how AI systems can support or hinder human autonomy. What emerges is a philosophically motivated picture of autonomy and of the normative requirements personal autonomy poses in the context of algorithmic systems. Ranging from consent to data collection and processing, to computational (...) tasks and interface design, to institutional and societal considerations, various aspects related to sociotechnical systems must be accounted for in order to get the full picture of potential effects of AI systems on human autonomy. It is clear how human agents can, for example, via coercion or manipulation, hinder each other’s autonomy, or how they can respect each other’s autonomy. AI systems can promote or hinder human autonomy, but can they literally respect or disrespect a person’s autonomy? We argue for a philosophical view according to which AI systems—while not moral agents or bearers of duties, and unable to literally respect or disrespect—are governed by so-called “ought-to-be norms.” This explains the normativity at stake with AI systems. The responsible people (designers, users, etc.) have duties and ought-to-do norms, which correspond to these ought-to-be norms. (shrink)

Predictive algorithms are playing an increasingly prominent role in society, being used to predict recidivism, loan repayment, job performance, and so on. With this increasing influence has come an increasing concern with the ways in which they might be unfair or biased against individuals in virtue of their race, gender, or, more generally, their group membership. Many purported criteria of algorithmic fairness concern statistical relationships between the algorithm’s predictions and the actual outcomes, for instance requiring that the rate of false (...) positives be equal across the relevant groups. We might seek to ensure that algorithms satisfy all of these purported fairness criteria. But a series of impossibility results shows that this is impossible, unless base rates are equal across the relevant groups. What are we to make of these pessimistic results? I argue that none of the purported criteria, except for a calibration criterion, are necessary conditions for fairness, on the grounds that they can all be simultaneously violated by a manifestly fair and uniquely optimal predictive algorithm, even when base rates are equal. I conclude with some general reflections on algorithmic fairness. (shrink)

As many Western countries emerged from initial periods of lockdown in spring 2020, they had brought COVID-19 infection rates down significantly. This was followed, however, with more drastic second and third waves of viral spread, which many of these same countries are struggling to bring under control, even with the implementation of further periods of lockdown. Could this have been prevented by policymakers? We revisit two strategies that were focus of much discussion during the early stages of the pandemic, and (...) which were implemented in several Western countries, albeit in a weakened form. These strategies both proceed by targeting certain segments of the population, while allowing others to go about their lives unhindered. The first suggests selectively isolating those that would most likely suffer severe adverse effects if infected – in particular the elderly. The second involves identifying and quarantining those who are likely to be infected through a contact tracing app that would centrally store users’ information. We suggest that both strategies showed promise in preventing the need for further lockdowns, albeit in a significantly more stringent form than anything that was implemented in Western countries. We then proceed to an ethical evaluation of these more stringent policies. We contend that selective isolation strategies face severe ethical problems due to its discriminatory nature, while the ethical issues with a more aggressive contact tracing regime can be mitigated. This analysis has implications for how to respond effectively and ethically to future pandemics, and perhaps contains lessons on how to successfully emerge from our current predicament. (shrink)

Using pure statistical evidence about a group to judge a particular member of that group is often found objectionable. One natural explanation of why this is objectionable appeals to the moral notion of respecting individuality: to properly respect individuality, we need individualized evidence, not pure statistical evidence. However, this explanation has been criticized on the ground that there is no fundamental difference between the so-called “individualized evidence” and “pure statistical evidence”. This paper defends the respecting-individuality explanation by developing an account (...) of what it means to respect individuality. It combines an idealistic account of respecting individuality and a prioritization account of respecting individuality, and offers a principled way to distinguish individualized evidence from non-individualized evidence. (shrink)

What is discrimination and what makes wrongful discrimination wrong? Even after an ever-rising tide of research over the course of the past twenty-five or so years these questions still remain hard to answer. Exercising candid and self-critical hindsight, Larry Alexander, who contributed his fair share to this tide, thus remarked: “All cases of discrimination, if wrongful, are wrongful either because of their quite contingent consequences or perhaps because they are breaches of promises or fiduciary duties.” If this is true it (...) raises serious doubts as to how wrongful discrimination can be a moral wrong in itself. Also, the question comes up as to who it is who breaches a promise or a fiduciary duty. This paper defends the view that the substance of these remarks is better understood by couching them in a political approach towards discrimination. Against this background, they give rise to real and pressing concerns. Once we conceptualise the realm political along Hobbesian lines as the battleground comprising both the private sphere of the individual and the public sphere of the commonwealth it emerges that discrimination has different significance with regard to these respective spheres. In order to illustrate this, I adopt Kasper Lippert-Rasmussen’s descriptive account of discrimination as „differential treatment on the basis of membership of a socially salient group“ and the common view that wrongful discrimination is wrong because it is harmful, disrespectful, or both. In the private sphere the case can be made for morally permissible cases of discrimination. Sexual discrimination due to sexual self-determination with consequently freely choosing your sexual or romantic partner is the central case in point. Where somebody feels unfairly rejected and consequently hurt neither the charge of harm inflicted nor that of disrespect endured need be justified. No “breach of promises or fiduciary duties” is involved. The case is different, however, when it comes to the fiduciary of power. In discriminating, he who exercises the power of the commonwealth necessarily breaches a promise and a fiduciary duty. Discrimination thus appears to be more of a problem of political philosophy than one of applied ethics. [in German] **************************************************************************************************** ******************** Was ist Diskriminierung und warum ist Diskriminierung verwerflich, wenn sie es denn ist? Dies bleibt ungeachtet der seit fünfundzwanzig Jahren anschwellenden Forschungsliteratur unverändert eine harte Nuss. Larry Alexander, der selbst maßgeblich zu dieser Forschungsliteratur beigetragen hat, merkt daher selbstkritisch an: „All cases of discrimination, if wrongful, are wrongful either because of their quite contingent consequences or perhaps because they are breaches of promises or fiduciary duties.“ Wenn dies der Fall ist, stellt sich die Frage, wie moralisch verwerfliche Diskriminierung dann noch an sich verwerflich sein kann. Es stellt sich dann auch die Frage, wer hier ein Versprechen bricht und seine Treuepflichten verletzt. Die leitende Annahme dieses Aufsatzes ist es, dass man dem sachlichen Kern dieser Bedenken Rechnung tragen kann, indem man eine politische Perspektive auf das Phänomen der Diskriminierung einnimmt. Die Bedenken erweisen sich dann als substanziell und zutreffend. Konzeptualisieren wir den Bereich des Politischen mit Thomas Hobbes als das Spannungsfeld, das die private Sphäre des Individuums und die öffentliche Sphäre des Gemeinwesens gegeneinander abgrenzt, wird sichtbar, dass Diskriminierung in diesen Sphären jeweils unterschiedlich zu bewerten ist. Um dies zu verdeutlichen, lege ich Kasper Lippert-Rasmussens deskriptives Verständnis von Diskriminierung als „differential treatment on the basis of membership of a socially salient group“ zugrunde und mache von der in der Diskussion verbreiteten Ansicht Gebrauch, dass das Zufügen von Schaden oder die Verweigerung von Respekt Diskriminierung verwerflich macht. In der privaten Sphäre kann es nun Fälle moralisch zulässiger Diskriminierung geben. Zentral ist die sexuelle Diskriminierung aufgrund der Ausübung einer freien Wahl des eigenen Sexual- oder Liebespartners. Auch wenn sich der Abgewiesene womöglich geschädigt sieht, wird unbilliger Schaden nicht zugefügt und geschul- deter Respekt nicht verweigert. Den Grund finden wir in Alexanders Formel: Ein „breach of promises“ oder eine Verletzung „fiduciary duties“ liegt nicht vor. Anders im Fall staatlicher Diskriminierung: Ein „breach of promises“ oder eine Verletzung „fiduciary duties“ liegt hier stets vor, da Fälle staatlicher Diskriminierung regelmäßig Machtmissbrauch darstellen: Der Inhaber staatlicher Gewalt verletzt die Treuepflicht, das Mandat unparteilich auszuüben, das getreulich auszuführen er gelobt hat. Diskriminierung erscheint also weniger als ein Problem der angewandten Ethik denn als eines der politischen Philosophie. (shrink)

Over the past decade, police departments in many countries have experimented with and increasingly adopted the use of police body-worn cameras. This article aims to examine the moral issues raised by the use of PBWCs, and to provide an overall assessment of the conditions under which the use of PBWCs is morally permissible. It first reviews the current evidence for the effects of using PBWCs. On the basis of this review the article sets out a teleological argument for the use (...) of PBWCs. The final two sections of the article review two deontological objections to the use of PBWCs: the idea that use of PBWCs is based on or expresses disrespectful mistrust, and the idea that the use of PBWCs violates a right to privacy. The article argues that neither of these objections is persuasive, and concludes that we should conditionally accept and support the use of PBWCs. (shrink)

Although there seems to be an agreement on what slurs are, many authors diverge when it comes to classify some words as such. Hence, many debates would benefit from a technical definition of this term that would allow scholars to clearly distinguish what counts as a slur and what not. Although the paper offers different definitions of the term in order to allow the reader to choose her favorite, I claim that ‘slurs’ is the name given to a grammatical category, (...) and I consequently trace a difference in kind between slurs and other kinds of group pejoratives. I rely on a novel approach to slurs that characterizes them based on their membership to a particular kind of register category, an often neglected sociolinguistic notion determining the social contexts in which registered terms are expected, tolerated or unacceptable. The paper also points out to the close link between words registered as [+derogatory] and their usage in the context of dominance relations of different kinds between users and recipients of slurs. By pointing out to this link I hope to underscore the political significance of slur usage, as well as to contribute further to the explanation why slurs are so damaging and unacceptable in most social contexts. (shrink)

If someone says, “You’ve stereotyped me,” we hear the statement as an accusation. One way to interpret the accusation is as follows: you haven’t seen or treated me as an individual. In this essay, I interpret and evaluate a theory of wrongful stereotyping inspired by this thought, which I call the failure-to-individualize theory of wrongful stereotyping. According to this theory, stereotyping is wrong if and only if it involves failing to treat persons as individuals. I argue that the theory—however one (...) interprets it—is inadequate. Either the theory will not reliably identify all cases of wrongful stereotyping or it will fail to adequately explain why they are wrong. I conclude that it does not follow that we must entirely jettison the objection that stereotyping fails to treat persons as individuals. What follows is only that the objection must play a more circumscribed role in a theory of when and why stereotyping is wrong. (shrink)

Many legal, social, and medical theorists and practitioners, as well as lay people, seem to be concerned with the harmfulness of discriminative practices. However, the philosophical literature on the moral wrongness of discrimination, with a few exceptions, does not focus on harm. In this paper, I examine, and improve, a recent account of wrongful discrimination, which divides into a definition of group discrimination, and a characterisation of its moral wrong-making feature in terms of harm. The resulting account analyses the wrongness (...) of discrimination in terms of intrapersonal comparisons of the discriminatee’s actual, and relevantly counterfactual, well-being levels. I show that the account faces problems from counterfactuals, which can be traced back specifically to the orthodox - comparative, counterfactual, welfarist - concept of harm. I argue that non-counterfactual and non-comparative harm concepts face problems of their own, and don’t fit easily with our best understanding of discrimination; hence they are unsuitable to replace the orthodox concept here. I then propose a non-orthodox - comparative, counterfactual, hybrid - concept of harm, which relies on counterfactual comparisons of ways of being treated. I suggest how such a concept can help us handle the problems from counterfactuals, at least for my account of discrimination. I also show that there are similar proposals in other harm-related debates. An upshot of the paper is thus to corroborate the case for a non-orthodox, hybrid concept of harm, which seems better able to fulfil its functional roles in a variety of contexts. (shrink)

In “Stereotyping as Discrimination: Why Thoughts Can Be Discriminatory,” I propose that stereotyping someone—even if you manage to keep your thoughts hidden and don’t act on them—can constitute a form of discrimination (2021b). What, Alex Madva asks, are the practical implications of this claim? Even if I am correct that stereotyping constitutes a form of discriminatory treatment, it’s still possible that people should keep on speaking and acting as if “discrimination” refers exclusively to behaviors and policies. He invites me to (...) explore the “potential payoffs and perils” of referring to thoughts and perceptions as discriminatory, especially as they relate to legal practice and social-scientific inquiry (2021, 46). (shrink)

Everyday lookism, by which I mean the widespread practice of commenting upon and judging the appearance of others, is often regarded as morally troubling. But when, and why, is it morally problemat...

It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring that the (...) resulting predictive model does not use race as an explicit predictor. However, if race is correlated with measured recidivism in the training data, the ML tool may ‘learn’ a perfect proxy for race. If such a proxy is found, the exclusion of race would do nothing to weaken the correlation between risk (mis)classifications and race. Is this a problem? We argue that, on some explanations of the wrongness of discrimination, it is. On these explanations, the use of an ML tool that perfectly proxies race would (likely) be more wrong than the use of a traditional tool that imperfectly proxies race. Indeed, on some views, use of a perfect proxy for race is plausibly as wrong as explicit racial profiling. We end by drawing out four implications of our arguments. (shrink)

Discrimination is typically understood to be a comparative phenomenon: S is discriminated against on the basis of trait T if she would not have been treated in the same way if she did not possess T. But the comparative test for discrimination may hide from view some important cases: associational discrimination and stereotype policing. These cases show more clearly what is true of discrimination in general: that it involves a vicarious wrong, that is, an action which wrongs someone other than (...) the primary object of disregard. This suggests why philosophers disagree whether discrimination is wrong because it causes harm or because it expresses disrespect. Paradigmatic cases of discrimination involve both harm and disrespect, but direct the harm and the disrespect towards different targets by treating the harmed individual as a mere representative of the targeted group. Discrimination is dehumanizing, and morally distinctive, precisely because of this fact. (shrink)

ABSTRACTIn this paper, we provide a normative analysis of the Women’s Tennis Association revised policy on maternity leave, which is regulated by its special ranking rule. To do so, we first explore how the revised policy functions when probed in relation to the nature of competitive sport. Then, we examine the revised policy through the lens of the literature on maternity discrimination. We argue that, when compared to its previous formulation, the revised special ranking rule is morally defensible because it (...) better protects female players’ interest in being able to combine their professional careers and their personal lives. However, we also identify several pronounced vulnerabilities and criticisms to the revised policy. (shrink)

I investigate the normative and conceptual account of the relationship between public recognition and dignitarian, or egalitarian, commitments. I do so through addressing the normative dispute, sparked by legal cases such as Masterpiece Cakeshop, Ltd. v. Colorado Civil Rights Commission and Fulton v. City of Philadelphia, as to whether there are dignitarian grounds for rejecting religious exemptions to antidiscrimination laws. I argue that there are such grounds. Specifically, I argue that, if granted, such exemptions would inflict dignitary harms against LGBTQ (...) individuals by denying them the public recognition necessary for reliably sustaining civic self-respect. Such exemptions would deny this recognition in two distinct ways. First, such exemptions would institutionalize humiliation of LGBTQ individuals as market actors. Second, such exemptions would condition market access for LGBTQ individuals on unequal terms. Through making this argument, I hope to make three primary, and related, contributions: I introduce a concept of civic self-respect; I argue that the normative import of public recognition is grounded in the good of civic self-respect; and I rely on this normative framework to show how religious exemptions to public accommodations laws inflict dignitary harms. My argument is relevant to both political philosophers and legal scholars grappling with questions of why public recognition matters and what it demands. (shrink)

This paper discusses the ethical implications of racism and some of the various costs associated with racism occurring at the institutional level. We argue that, in many ways, the laws, social structures, and institutions in Western society have operated to perpetuate the continuation of historical legacies of racial inequities with or without the intention of individuals and groups in society. By merely maintaining existing structures, laws, and social norms, society can impose social, economic, and health costs on racial minorities that (...) impinge on their well-being and human dignity. Based on a review of multidisciplinary research on racism, particularly focusing on healthcare, we demonstrate how institutional racism leads to social and economic inequalities in society. By positing institutional racism as the inherent cause of avoidable disparities in healthcare, this paper draws attention to the ethical significance of racism, which remains a relatively neglected issue in bioethics research. (shrink)

Statistical discrimination is a form of discrimination that uses statistical inferences about the groups to which individuals belong as grounds for treating them differently. It remains unclear what, if anything, makes statistical discrimination wrong. My thesis argues that statistical discrimination is wrong because, and insofar as, it contributes to existing social injustice. After an introduction to the issues in section 1, section 2 clarifies the concept of statistical discrimination and its differences with non-statistical discrimination. Section 3 discusses different accounts that (...) seek to explain when and why statistical discrimination is wrong. I examine two approaches, one of which regards the wrong of statistical discrimination as part of discrimination in general, while the other conceives of the wrong as distinctive to statistical discrimination itself. I argue the former approach is better. Among different accounts within the approach, the context-based consequentialist account that explains the wrong in relation to existing social injustice is most promising. Section 4 uses racial profiling as an example to illustrate how the account can help explain this hard case of statistical discrimination, calling upon an argument developed by Benjamin Eidelson. (shrink)

Definition of the problem Few concepts in recent ethical debates have enjoyed as much popularity as the concept of discrimination. However, a comparative discussion of the concept, including its conceptual nuances and its ethical significance for health care, has so far been lacking. The aim of this paper is to develop a nuanced understanding of discrimination based on the philosophical and sociological literature against the background of ethically relevant medical and nursing scenarios. Methods Using practical examples from health care, we (...) discuss direct, indirect, and statistical discrimination; we examine the importance of intentions and the role of collective actors. In addition, we analyze which social groups may experience discrimination and the respective importance of forms of epistemic injustice. Conclusions We argue that despite its complexity, the concept offers significant added value because it allows us to highlight forms of disadvantage that go beyond the violation of individual specific rights or interests. As a knowledge-based system of great societal influence, health care exhibits some characteristics that can foster discrimination. Acknowledging this fact is essential in order to effectively address discrimination. (shrink)

Kaum ein Begriff der ethischen Debatten der letzten Jahre hat eine solche Konjunktur erlebt wie der Begriff der Diskriminierung. Eine vergleichende Erörterung des Konzepts einschließlich seiner begrifflichen Nuancen und seiner ethischen Bedeutung für das Gesundheitswesen fehlte jedoch bislang. Ziel dieses Beitrags ist die Entwicklung eines differenzierten Verständnisses von Diskriminierung auf der Basis der philosophischen und soziologischen Literatur vor dem Hintergrund ethisch relevanter medizinischer und pflegerischer Szenarios. Anhand von praktischen Beispielen aus dem Gesundheitswesen erörtern wir die Besonderheiten direkter, indirekter und statistischer (...) Diskriminierung, wir untersuchen die Bedeutung von Absichten und die Rolle von kollektiven Akteuren. Zudem diskutieren wir, welche sozialen Gruppen diskriminiert werden können und welche Rolle Formen epistemischer Ungerechtigkeit dabei spielen. Argumentiert wird, dass das Konzept trotz seiner Komplexität einen signifikanten Mehrwert bietet, weil es erlaubt, Formen der Benachteiligung aufzuzeigen, die über die Verletzung einzelner spezifischer Rechte oder Interessen hinausgehen. Als wissensbasiertes System von großem gesellschaftlichen Einfluss weist das Gesundheitswesen einige Eigenschaften auf, die Diskriminierung begünstigen können. Dies zu erkennen ist unerlässlich, um Diskriminierung wirksam entgegentreten zu können. (shrink)