A distinction often drawn is one between conservative versus revisionary conceptions of philosophical analysis with respect to commonsensical beliefs and intuitions. This paper offers a comparative investigation of two revisionary methods: Carnapian explication and ameliorative analysis as developed by S. Haslanger. It is argued that they have a number of common features, and in particular that they share a crucial political dimension: they both have the potential to serve as instrument for social reform. Indeed, they may produce improved versions of (...) key concepts of everyday life, for example those pertaining to social categories such as gender and race, which in turn may lead to social change. The systematic comparison of these two frameworks offered here, where similarities as well as differences are discussed, is likely to provide useful guidance to practitioners of both approaches, as it will highlight important aspects of each of them that tend to remain implicit and under-theorized in existing applications of these methodologies to specific questions. (shrink)

This article examines the complaint that arbitrary algorithmic decisions wrong those whom they affect. It makes three contributions. First, it provides an analysis of what arbitrariness means in this context. Second, it argues that arbitrariness is not of moral concern except when special circumstances apply. However, when the same algorithm or different algorithms based on the same data are used in multiple contexts, a person may be arbitrarily excluded from a broad range of opportunities. The third contribution is to explain (...) why this systemic exclusion is of moral concern and to offer a solution to address it. (shrink)

Philosophy &Public Affairs, Volume 51, Issue 2, Page 166-190, Spring 2023.

Social problems such as racism, sexism, and inequality are often cited as structural rather than individual in nature. What does it mean to invoke a social structural explanation, and how do such explanations relate to individualistic ones? This article explores recent philosophical debates concerning the nature and usages of social structural explanation. I distinguish between two central kinds of social structural explanation: those that are autonomous from psychology, and those that are not. This distinction will help clarify the explanatory power (...) that each type of SSE has, points of convergence with methodological traditions such as critical theory and rational choice theory, and the difficulties that each type of SSE faces. (shrink)

In this paper I defend anti-realism about race and a new theory of racialization. I argue that there are no races, only racialized groups. Many social constructionists about race have adopted racial formation theory to explain how ‘races’ are formed. However, anti-realists about race cannot adopt racial formation theory, because it assumes the reality of race. I introduce interactive constructionism about racialized groups as a theory of racialization for anti-realists about race. Interactive constructionism moves the discussion away from the dichotomous (...) (social vs. biological) metaphysics that has marred this debate, and posits that racialized groups are the joint products of a broad range of non-racial factors, which interact. (shrink)

It is becoming more common that the decision-makers in private and public institutions are predictive algorithmic systems, not humans. This article argues that relying on algorithmic systems is procedurally unjust in contexts involving background conditions of structural injustice. Under such nonideal conditions, algorithmic systems, if left to their own devices, cannot meet a necessary condition of procedural justice, because they fail to provide a sufficiently nuanced model of which cases count as relevantly similar. Resolving this problem requires deliberative capacities uniquely (...) available to human agents. After exploring the limitations of existing formal algorithmic fairness strategies, the article argues that procedural justice requires that human agents relying wholly or in part on algorithmic systems proceed with caution: by avoiding doxastic negligence about algorithmic outputs, by exercising deliberative capacities when making similarity judgments, and by suspending belief and gathering additional information in light of higher-order uncertainty. (shrink)

Consider the following two (hypothetical) generic causal claims: “Living in a neighborhood with many families with children increases purchases of bicycles” and “living in an affluent neighborhood with many families with children increases purchases of bicycles.” These claims not only differ in what they suggest about how bicycle ownership is distributed across different neighborhoods (i.e., “the data”), but also have the potential to communicate something about the speakers’ values: namely, the prominence they accord to affluence in representing and making decisions (...) about the social world. Here, we examine the relationship between the level of granularity with which a cause is described in a generic causal claim (e.g., neighborhood vs. affluent neighborhood) and the value of the information contained in the causal model that generates that claim. We argue that listeners who know any two of the following can make reliable inferences about the third: 1) the level of granularity at which a speaker makes a generic causal claim, 2) the speaker’s values, and 3) the data available to the speaker. We present results of four experiments (N=1,323) in the domain of social categories that provide evidence in keeping with these predictions. (shrink)

In many assessment problems—aptitude testing, hiring decisions, appraisals of the risk of recidivism, evaluation of the credibility of testimonial sources, and so on—the fair treatment of different groups of individuals is an important goal. But individuals can be legitimately grouped in many different ways. Using a framework and fairness constraints explored in research on algorithmic fairness, I show that eliminating certain forms of bias across groups for one way of classifying individuals can make it impossible to eliminate such bias across (...) groups for another way of dividing people up. And this point generalizes if we require merely that assessments be approximately bias-free. Moreover, even if the fairness constraints are satisfied for some given partitions of the population, the constraints can fail for the coarsest common refinement, that is, the partition generated by taking intersections of the elements of these coarser partitions. This shows that these prominent fairness constraints admit the possibility of forms of intersectional bias. (shrink)

Intersectionality theory explores the special sorts of disadvantage that arise as the result of occupying multiple disadvantaged demographic categories. One significant methodological problem for the quantitative study of intersectionality is the difficulty of acquiring data sets large enough to produce significant results when one is looking for intersectional effects. For this reason, we argue, simulation methods may be particularly useful to this branch of theorizing because they can generate precise predictions and causal dependencies in a relatively cheap way, and can (...) thus guide future empirical work. We illustrate this point through models which show that intersectional oppression can arise under conditions where social groups are disadvantaged in the emergence of bargaining norms. As we show, intersectional disadvantage can arise even when actors from all social categories are completely identical in terms of preferences and abilities. The conditions necessary to derive such disadvantage are relatively minimal. And when actors behave in ways that reflect stronger intersectional identities, the potential for disadvantage increases. (shrink)

The need for fair and just AI is often related to the possibility of understanding AI itself, in other words, of turning an opaque box into a glass box, as inspectable as possible. Transparency and explainability, however, pertain to the technical domain and to philosophy of science, thus leaving the ethics and epistemology of AI largely disconnected. To remedy this, we propose an integrated approach premised on the idea that a glass-box epistemology should explicitly consider how to incorporate values and (...) other normative considerations, such as intersectoral vulnerabilities, at critical stages of the whole process from design and implementation to use and assessment. To connect ethics and epistemology of AI, we perform a double shift of focus. First, we move from trusting the output of an AI system to trusting the process that leads to the outcome. Second, we move from expert assessment to more inclusive assessment strategies, aiming to facilitate expert and non-expert assessment. Together, these two moves yield a framework usable for experts and non-experts when they inquire into relevant epistemological and ethical aspects of AI systems. We dub our framework ‘epistemology-cum-ethics’ to signal the equal importance of both aspects. We develop it from the vantage point of the designers: how to create the conditions to internalize values into the whole process of design, implementation, use, and assessment of an AI system, in which values (epistemic and non-epistemic) are explicitly considered at each stage and inspectable by every salient actor involved at any moment. (shrink)

In what sense are the special sciences autonomous of fundamental physics? Autonomy is an enduring theme in discussions of the relationship between the special sciences and fundamental physics or, more generally, between higher and lower-level facts. Discussion of ‘autonomy’ often fails to recognise that autonomy admits of degrees; consequently, autonomy is either taken to require full independence, or risk relegation to mere apparent autonomy. In addition, the definition of autonomy used by Fodor, the most famous proponent of the autonomy of (...) the special sciences, has been robustly criticised by Loewer. In this paper I develop a new account of autonomy following Woodward which I dub ‘generalised autonomy’ since it unifies dynamical, causal and nomic autonomy. Autonomy, on this account, can be partial: some lower-level details matter while others do not. To summarise: whilst the detailed lower level is unconditionally relevant, conditionalising on the higher-level facts renders some lower-level details irrelevant. The macrodependencies that the higher-level facts enter into — be they dynamical, causal or nomic — screen off the underlying microdetails. This account helps resolve an explanatory puzzle: if the lower-level facts in some way underpin the higher-level facts, why don’t the lower-level details matter more for the day-to-day practice of the special sciences? The answer will be: the facts uncovered by the special sciences are autonomous in my sense, and so practitioners of these special sciences need not study more fundamental sciences, since these underlying facts are genuinely irrelevant. (shrink)

Should editors of scientific journals practice triple-anonymous reviewing? I consider two arguments in favor. The first says that insofar as editors’ decisions are affected by information they would not have had under triple-anonymous review, an injustice is committed against certain authors. I show that even well-meaning editors would commit this wrong and I endorse this argument. The second argument says that insofar as editors’ decisions are affected by information they would not have had under triple-anonymous review, it will negatively affect (...) the quality of published papers. I distinguish between two kinds of biases that an editor might have. I show that one of them has a positive effect on quality and the other a negative one, and that the combined effect could be either positive or negative. Thus I do not endorse the second argument in general. However, I do endorse this argument for certain fields, for which I argue that the positive effect does not apply. (shrink)

Recently, researchers have begun to empirically investigate the gender gap in philosophy and provide potential explanations for the underrepresentation of women in philosophy relative to their representation in other disciplines. This empirical research as well as research on the gender gap in Science, Technology, Engineering, and Mathematics fields has shed light on a priori, armchair explanations of the gender gap. For example, implicit bias and stereotype threat may contribute much less to the philosophy gender gap than previously thought. However, new (...) candidate contributing factors have emerged. Drawing on the theoretical resources concerning fixed mindsets in response to difficult tasks, a new theory suggests that practitioners in various fields, including philosophy, hold the belief that success in their fields requires natural brilliance. Further, the extent to which members of a field hold that belief predicts the diversity of the members of that field. Initial findings suggest that among the set of students who hold these beliefs, women are disproportionately disinterested in continuing in philosophy. Other hypotheses seem plausible, such as the idea that lay people hold gendered schemas about philosophy, but require more empirical support to be partial explanations. Future empirical research should focus on these plausible hypotheses, replications of previous findings, and investigating the effects of intersectionality within the gender gap. (shrink)

Some explanations appeal to facts about the causal structure of a system in order to shed light on a particular phenomenon; these are explanations which do more than cite the causes X and Y of some state-of-affairs Z, but rather appeal to “macro-level” causal features—for example the fact that A causes B as well as C, or perhaps that D is a strong inhibitor of E—in order to explain Z. Appeals to these kinds of “macro-level” causal features appear in a (...) wide variety of social scientific and biological research; statements about features such as “patriarchy,” “healthcare infrastructure,” and “functioning DNA repair mechanism,” for instance, can be understood as claims about what would be different in a system with a different causal structure. I suggest interpreting counterfactual questions involving structural features as questions about alternative parameter settings of causal models, and propose an extension of the usual interventionist framework for causal explanation which enables scientists to explore the consequences of interventions on “macro-level” structure. (shrink)

Empirical evidence indicates that women philosophers tend to submit their work to journals substantially less often than their male colleagues. This paper points out that this difference in submission behavior comes with other specific aspects of women philosophers’ behavior, such as a tendency to be reluctant to participate in discussions, to be willing to do work low in prestige, and to specialize in certain research topics, and it argues that these differences can be understood as indirect effects of social biases: (...) namely, effects on the working behavior of members of targeted social groups. Recent findings from philosophy journals’ book review sections and from other academic disciplines known to suffer from gender problems, especially from STEM disciplines, lend additional weight to this hypothesis. (shrink)

Jennifer Lackey makes the case that non-summativist accounts of group belief cannot adequately account for an important difference between group lies and group belief. Since non-summativist accounts fail to do this, she argues that they ought be rejected and that we should seek an account of group belief which can do better by this standard. I briefly summarize Lackey’s argument, to give a sense of the role I see the central desideratum playing, and outline her arguments for that desideratum. I (...) then critique one of the positive arguments she offers for the desideratum, briefly outlining the notion of explication and why I think it would not license the appeal to the Group Lie Desideratum that Lackey’s argument depends upon. This leads me to reflections on the broader project of analysing notions of group belief, and the role I think such endeavours can or ought to play in social epistemology more broadly. (shrink)

A sketch of my ethical views, or secular moral philosophy. Emphasis is on stating how it all hangs together.

**No longer the current version available on SEP; see revised version by Sharon Crasnow** -/- Feminists have a number of distinct interests in, and perspectives on, science. The tools of science have been a crucial resource for understanding the nature, impact, and prospects for changing gender-based forms of oppression; in this spirit, feminists actively draw on, and contribute to, the research programs of a wide range of sciences. At the same time, feminists have identified the sciences as a source as (...) well as a locus of gender inequalities: the institutions of science have a long tradition of excluding women as practitioners; feminist critics of science find that women and gender (or, more broadly, issues of concern to women and sex/gender minorities) are routinely marginalized as subjects of scientific inquiry, or are treated in ways that reproduce gender-normative stereotypes; and, closing the circle, scientific authority has frequently served to rationalize the kinds of social roles and institutions that feminists call into question. -/- Feminist perspectives on science therefore reflect a broad spectrum of epistemic attitudes toward and appraisals of science. Some urge the reform of gender inequities in the institutions of science and call for attention to neglected questions with the aim of improving the sciences in their own terms; they do not challenge the standards and practices of the sciences they engage. Others pursue jointly critical and constructive programs of research that, to varying degrees, aim at transforming the methodologies, substantive content, framework assumptions, and epistemic ideals that animate the sciences. The content of these perspectives, and the degree to which they generate transformative critique, depends not only on the types of philosophical and political commitments that inform them but also on the nature of the sciences and subject domains on which they bear. Feminist perspectives have had greatest impact on sciences that deal with inherently gendered subjects—the social and human sciences—and, secondarily, on sciences that study subjects characterized in gendered terms, metaphorically or by analogy (projectively gendered subjects), chiefly the biological and life sciences. Feminist perspectives are relevant to sciences that deal with non-gendered subject matters, but perspectives vary substantially in content and in critical import depending on the sciences and the particular research programs they engage. (shrink)

In recent decades, economists have developed methods for measuring the country-wide level of inequality of opportunity. The most popular method, called the ex-ante method, uses data on the distribution of outcomes stratified by groups of individuals with the same circumstances, in order to estimate the part of outcome inequality that is due to these circumstances. I argue that these methods are potentially biased, both upwards and downwards, and that the unknown size of this bias could be large. To argue that (...) the methods are biased, I show that they ought to measure causal or counterfactual quantities, while the methods are only capable of identifying correlational information. To argue that the bias is potentially large, I illustrate how the causal complexity of the real world leads to numerous non-causal correlations between circumstances and outcomes and respond to objections claiming that such correlations are nonetheless indicators of unfair disadvantage, that is, inequality of opportunity. (shrink)

This article argues that non-ideal theory fails to deliver on its promise of providing a more accurate account of the real world by which philosophers can address problems of racism, sexual violence, and poverty. Because non-ideal theory relies on abstractions of groups which are idealized as causes for social phenomena, non-idealists imagine that categories like race or gender predict how groups behave in the real world. This article maintains that non-idealist abstractions often result in inaccuracy and makes the case that (...) empirically informed theories and group-based analyses are needed to correct the course of race-gender theory. (shrink)

(This is for the Cambridge Handbook of Analytic Philosophy, edited by Marcus Rossberg) In this handbook entry, I survey the different ways in which formal mathematical methods have been applied to philosophical questions throughout the history of analytic philosophy. I consider: formalization in symbolic logic, with examples such as Aquinas’ third way and Anselm’s ontological argument; Bayesian confirmation theory, with examples such as the fine-tuning argument for God and the paradox of the ravens; foundations of mathematics, with examples such as (...) Hilbert’s programme and Gödel’s incompleteness theorems; social choice theory, with examples such as Condorcet’s paradox and Arrow’s theorem; ‘how possibly’ results, with examples such as Condorcet’s jury theorem and recent work on intersectionality theory; and the application of advanced mathematics in philosophy, with examples such as accuracy-first epistemology. (shrink)

Liberalism is often claimed to be at odds with feminism and critical race theory (CRT). This article argues, to the contrary, that Rawlsian liberalism supports the central commitments of both. Section 1 argues that Rawlsian liberalism supports intersectional feminism. Section 2 argues that the same is true of CRT. Section 3 then uses Young’s ‘Five Faces of Oppression’—a classic work widely utilized in feminism and CRT to understand and contest many varieties of oppression—to illustrate how Rawlsian liberalism supports diverse feminist (...) and CRT projects, and why it may be critical to achieve solidarity between feminism, CRT, and Rawlsian liberalism. Finally, Section 4 responds to five objections. (shrink)

By applying classical and contemporary insights of the phenomenological tradition to key findings within the literature on stereotype threat, this paper considers the embodied effects of everyday exposure to racism and makes a contribution to the growing field of applied phenomenology. In what follows, the paper asks how a phenomenological perspective can both contribute to and enrich discussions of ST in psychology. In answering these questions, the paper uses evidence from social psychology as well as first personal testimonies from members (...) of marginalized groups to argue that subjectively experienced racial oppression is embodied and thus has effects on selfhood that are harmful. More specifically, it makes the case that what are most often considered to be temporary or context-based consequences of ST are in fact more wide reaching and harmful than assumed in that the harms that result from suffering ST become a part of one’s identity, and thus a background lens through which one experiences the world. (shrink)

Intersectionality is the notion that concerns the complexity of the experiences of individuals in virtue of their belonging to multiple socially significant categories. One of its main insights is that the way society is structured around categories such as gender, race, sexuality, class, etc., produces distinctive and specific forms of discrimination and privilege for groups in the intersections. In this paper, we suggest conceiving intersectionality as a general metaphysical framework wherein specific claims to the effect that the experiences of discrimination (...) of Black women, among others, can be fruitfully formulated and examined. The main claim is that intersectional experiences emerge from the conjunction of social categories when social structures make them relevant vis-à-vis discrimination and privilege. We then argue that our view has three main virtues: metaphysical neutrality, explanatory flexibility and methodological openness. Explaining these virtues will allow us to contrast our proposal with alternatives from the recent literature. (shrink)

In the United States, Protestant Christian identity is the dominant religious identity. Protestant Christian identity confers status privileges, yet also creates objectionable status inequalities. Historical and contemporary evidence includes the unfair treatment of Mormons, Native Americans, Muslims, and other religious minorities. Protestant Christian supremacy also plays a significant role in bolstering anti LGBTQ prejudice, xenophobia, and white supremacy. Ways that Protestant Christian identity correlates with objectionable status inequalities are often neglected in contemporary political philosophy. This paper aims to make a (...) modest contribution towards filling that gap. Some forms of inequality linked to Protestant Christian supremacy can be characterized as domination and oppression. Other instances include barriers to fair equality of opportunity for self-determination. Adapting ideas from egalitarian political philosophy I propose an analysis of objectionable status inequality rooted in Protestant Christian supremacy. Alan Patten’s defense of an egalitarian principle for assessing the effects of law and policy is helpful for this task. (shrink)

When people simultaneously occupy multiple social identities, ascriptions of disadvantage and advantage, as well as our reasoning with them, need to be handled with care. For instance, as various US-American courts have come to acknowledge, we cannot in general reason from the premise that someone has neither been discriminated against as a woman nor as a Black person to the conclusion that they have not been discriminated against as a Black woman. In this article, I show how, by systematising such (...) qualified ascriptions of disadvantage (and advantage), as well as the patterns of reasoning involving them, we can articulate and defend central theses of intersectionality theory in remarkably general terms, and without having to commit to a particular metaphysics of intersectional identity. (shrink)

This paper develops a philosophical account of environmental racism and explains why having such an account is worthwhile. After reviewing some data points and common uses of the term linking environmental racism to the distribution of environmental burdens by race, I argue that environmental racism should be understood as referring to an unequal distribution caused by a history of racism. Environmental racism is thus analyzed in terms of two conditions: first, that environmental burdens and benefits be distributed according to race, (...) and second, that this distribution be partly caused by a history of racism, where this causal claim is understood counterfactually. The account entails that environmental racism is a derivative form of racism – it depends on other kinds of racism to exist – while being compatible with a variety of views about the more basic forms of racism. Given the proposed framework, I consider the kind of evidence needed to establish whether a given case is one of environmental racism and make the case for environmental racism being a concept worth focusing on as it can highlight a type of injustice that may otherwise go unnoticed. (shrink)

Recent empirical work attempts to investigate how implicit biases target those facing intersectional oppression. This is welcome, since early work on implicit biases focused on single axes of discrimination, such as race, gender, or age. However, the success of such empirical work on how biases target those facing intersectional oppressions depends on adequate conceptualizations of intersectionality and empirical measures that are responsive to these conceptualizations. Surveying prominent recent empirical work, we identify failures in conceptualizations of intersectionality that inform the design (...) of empirical measures. These failures generate unsupported conclusions about the kinds of biases that those experiencing multiple oppressions face, and render proposed interventions to combat biases useless at best, harmful at worst. We also diagnose unwarranted assumptions about how stereotypes combine in complex concepts: first, that when “simple” social concepts combine the complex concepts inherit the associated stereotypes of their simpler constituent concepts; second that studies which focus on cognition about single social categories are investigating “simple” social concepts (cf. Goff and Khan 2013). We tease out recommendations to guide future investigations into biases that target those who experience multiple oppressions. (shrink)

This essay enriches causal models capturing the propagation of prejudice, bias, and other aggregative social mechanisms, negative or positive. These explananda include the reinforcement of economic inequality, “mob-like” behavior, peer pressure, and the establishment of social norms. The stage is set by introducing various forms of redundant causation and discussing some difficulties with mainstream preemption. Next the main proposal extends current representations of aggregative social mechanisms in two respects. First, it is more nuanced, as it identifies three distinct kinds of (...) inferences: relevance of causes to effects, degree of redundancy of an effect, and the influence that causes exert on other causes. Second, it offers a quantitative—as opposed to merely qualitative—distinction between the causal contribution of preempting and preempted causes. (shrink)