In this dissertation, I construct scientifically and practically adequate moral analogs of cognitive heuristics and biases. Cognitive heuristics are reasoning “shortcuts” that are efficient but flawed. Such flaws yield systematic judgment errors—i.e., cognitive biases. For example, the availability heuristic infers an event’s probability by seeing how easy it is to recall similar events. Since dramatic events, such as airplane crashes, are disproportionately easy to recall, this heuristic explains systematic overestimations of their probability (availability bias). The research program on cognitive heuristics (...) and biases (e.g., Daniel Kahneman’s work) has been scientifically successful and has yielded useful error-prevention techniques—i.e., cognitive debiasing. I attempt to apply this framework to moral reasoning to yield moral heuristics and biases. For instance, a moral bias of unjustified differences in the treatment of particular animal species might be partially explained by a moral heuristic that dubiously infers animals’ moral status from their aesthetic features. While the basis for identifying judgments as cognitive errors is often unassailable (e.g., per violating laws of logic), identifying moral errors seemingly requires appealing to moral truth, which, I argue, is problematic within science. Such appeals can be avoided by repackaging moral theories as mere “standards-of-interest” (a la non-normative metrics of purportedly right-making features/properties). However, standards-of-interest do not provide authority, which is needed for effective debiasing. Nevertheless, since each person deems their own subjective morality authoritative, subjective morality (qua standard-of-interest and not moral subjectivism) satisfies both scientific and practical concerns. As such, (idealized) subjective morality grounds a moral analog of cognitive biases—namely, subjective moral biases (e.g., committed anti-racists unconsciously discriminating). I also argue that "cognitive heuristic" is defined by its contrast with rationality. Consequently, heuristics explain biases, which are also so defined. However, such contrasting with rationality is causally irrelevant to cognition. This frustrates the presumed usefulness of the kind, heuristic, in causal explanation. As such, in the moral case, I jettison the role of causal explanation and tailor categories solely for contrastive explanation. As such, “moral heuristic” is replaced with "subjective moral fallacy," which is defined by its contrast with subjective morality and explains subjective moral biases. The resultant subjective moral biases and fallacies framework can undergird future empirical research. (shrink)

In this paper, I argue against the view that the representational structure of the implicit attitudes responsible for implicitly biased behaviour is propositional—as opposed to associationist. The proposal under criticism moves from the claim that implicit biased behaviour can occasionally be modulated by logical and evidential considerations to the view that the structure of the implicit attitudes responsible for such biased behaviour is propositional. I argue, in particular, against the truth of this conditional. Sensitivity to logical and evidential considerations, I (...) contend, proves to be an inadequate criterion for establishing the true representational structure of implicit attitudes. Considerations of a different kind, which emphasize the challenges posed by the structural social injustice that implicit attitudes reflect, offer, I conclude, better support for deciding this issue in favour of an associationist view. (shrink)

Many contemporary forms of oppression are not primarily the result of formally organized collective action nor are they an unintended outcome of a combination of individual actions. This raises the question of collective responsibility. I argue that we can only determine who is responsible for oppression if we understand oppression as a matter of social practices that create obstacles for social change. This social practice view of oppression enables two insights: First, that there is an unproblematic sense in which groups (...) can bear irreducible collective responsibility for oppression. Second, that there are derived forms of individual responsibility for members of dominant groups. (shrink)

It has been argued that humans can face an ethical/epistemic dilemma over the automatic stereotyping involved in implicit bias: ethical demands require that we consistently treat people equally, as equally likely to possess certain traits, but if our aim is knowledge or understanding our responses should reflect social inequalities meaning that members of certain social groups are statistically more likely than others to possess particular features. I use psychological research to argue that often the best choice from the epistemic perspective (...) is the same as the best choice from the ethical perspective: to avoid automatic stereotyping even when this involves failing to reflect social realities in our judgements. This argument has an important implication: it shows that it is not possible to successfully defend an act of automatic stereotyping simply on the basis that the stereotype reflects an aspect of social reality. An act of automatic stereotyping can be poor from an epistemic perspective even if the stereotype that is activated reflects reality. (shrink)

Why do we engage in folk psychology, that is, why do we think about and ascribe propositional attitudes such as beliefs, desires, intentions etc. to people? On the standard view, folk psychology is primarily for mindreading, for detecting mental states and explaining and/or predicting people’s behaviour in terms of them. In contrast, McGeer (1996, 2007, 2015), and Zawidzki (2008, 2013) maintain that folk psychology is not primarily for mindreading but for mindshaping, that is, for moulding people’s behavior and minds (e.g., (...) via the imposition of social norms) so that coordination becomes easier. Mindreading is derived from and only as effective as it is because of mindshaping, not vice versa. I critically assess McGeer’s, and Zawidzki’s proposal and contend that three common motivations for the mindshaping view do not provide sufficient support for their particular version of it. I argue furthermore that their proposal underestimates the role that epistemic processing plays for mindshaping. And I provide reasons for favouring an alternative according to which, in social cognition involving ascriptions of propositional attitudes, neither mindshaping nor mindreading is primary but both are complementary in that effective mindshaping depends as much on mindreading as effective mindreading depends on mindshaping. (shrink)

Should we understand implicit attitudes on the model of belief? I argue that implicit attitudes are (probably) members of a different psychological kind altogether, because they seem to be insensitive to the logical form of an agent’s thoughts and perceptions. A state is sensitive to logical form only if it is sensitive to the logical constituents of the content of other states (e.g., operators like negation and conditional). I explain sensitivity to logical form and argue that it is a necessary (...) condition for belief. I appeal to two areas of research that seem to show that implicit attitudes fail spectacularly to satisfy this condition—although persistent gaps in the empirical literature leave matters inconclusive. I sketch an alternative account, according to which implicit attitudes are sensitive merely to spatiotemporal relations in thought and perception, i.e., the spatial and temporal orders in which people think, see, or hear things. (shrink)

This paper focuses on the potential of “equitech”—AI technology that improves equity. Recently, interventions have been developed to reduce the harm of implicit bias, the automatic form of stereotype or prejudice that contributes to injustice. However, these interventions—some of which are assisted by AI-related technology—have significant limitations, including unintended negative consequences and general inefficacy. To overcome these limitations, we propose a two-dimensional framework to assess current AI-assisted interventions and explore promising new ones. We begin by using the case of human (...) resource recruitment as a focal point to show that existing approaches have exploited only a subset of the available solution space. We then demonstrate how our framework facilitates the discovery of new approaches. The first dimension of this framework helps us systematically consider the analytic information, intervention implementation, and modes of human-machine interaction made available by advancements in AI-related technology. The second dimension enables the identification and incorporation of insights from recent research on implicit bias intervention. We argue that a design strategy that combines complementary interventions can further enhance the effectiveness of interventions by targeting the various interacting cognitive systems that underlie implicit bias. We end with a discussion of how our cognitive interventions framework can have positive downstream effects for structural problems. (shrink)

Bioethics has increasingly become a standard part of medical school education and the training of healthcare professionals more generally. This is a promising development, as it has the potential to help future practitioners become more attentive to moral concerns and, perhaps, better moral reasoners. At the same time, there is growing recognition within bioethics that nonideal theory can play an important role in formulating normative recommendations. In this chapter we discuss what this shift toward nonideal theory means for ethical curricula (...) within healthcare education. In particular, we contend that more attention to the particularities of historical and social context needs to be incorporated into bioethics training. To make this argument, we focus on two examples: teaching units on race and medicine and those that focus on stigma and coercion in mental health. For both, we show how a pedagogical approach in which educators focus on social injustice could influence how practitioners engage in ethics in the clinic. This chapter, then, demonstrates what a commitment to nonideal theory can mean practically when it comes to bioethics education. (shrink)

Is disgust morally valuable? The answer to that question turns, in large part, on what we can do to shape disgust for the better. But this cultivation question has received surprisingly little attention in philosophical debates. To address this deficiency, this article examines empirical work on disgust and emotion regulation. This research reveals that while we can exert some control over how we experience disgust, there’s little we can do to substantively change it at a more fundamental level. These empirical (...) insights have revisionary implications both for debates about disgust’s moral value and for our understanding of agency and moral development more generally. (shrink)

Moralization is a social-psychological process through which morally neutral issues take on moral significance. Often linked to health and disease, moralization may sometimes lead to good outcomes; yet moralization is often detrimental to individuals and to society as a whole. It is therefore important to be able to identify when moralization is inappropriate. In this paper, we offer a systematic normative approach to the evaluation of moralization. We introduce and develop the concept of ‘mismoralization’, which is when moralization is metaethically (...) unjustified. In order to identify mismoralization, we argue that one must engage in metaethical analysis of moralization processes while paying close attention to the relevant facts. We briefly discuss one historical example and two contemporary cases related to COVID-19 that we contend to have been mismoralized in public health. We propose a remedy of de-moralization that begins by identifying mismoralization and that proceeds by neutralizing inapt moral content. De-moralization calls for epistemic and moral humility. It should lead us to pull away from our tendency to moralize—as individuals and as social groups—whenever and wherever moralization is unjustified. (shrink)

Epistemologists often appeal to the idea that a normative theory must provide useful, usable, guidance to argue for one normative epistemology over another. I argue that this is a mistake. Guidance considerations have no role to play in theory choice in epistemology. I show how this has implications for debates about the possibility and scope of epistemic dilemmas, the legitimacy of idealisation in Bayesian epistemology, uniqueness versus permissivism, sharp versus mushy credences, and internalism versus externalism.

Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines delivering job postings for well-paying technical jobs to men and not women, or providing arrest mugshots when keywords such as “black teenagers” are entered. Learning algorithms are evolving; they are often created from parsing through large datasets of online information while having truth labels bestowed on them (...) by crowd-sourced masses. These specialized AI algorithms have been liberated from the minds of researchers and startups, and released onto the public. Yet intelligent though they may be, these algorithms maintain some of the same biases that permeate society. They find patterns within datasets that reflect implicit biases and, in so doing, emphasize and reinforce these biases as global truth. This paper describes specific examples of how bias has infused itself into current AI and robotic systems, and how it may affect the future design of such systems. More specifically, we draw attention to how bias may affect the functioning of a robot peacekeeper, a self-driving car, and a medical robot. We conclude with an overview of measures that could be taken to mitigate or halt bias from permeating robotic technology. (shrink)

Research programs in empirical psychology over the past few decades have led scholars to posit implicit biases. This is due to the development of innovative behavioural measures that have revealed aspects of our cognitions which may not be identified on self-report measures requiring individuals to reflect on and report their attitudes and beliefs. But what does it mean to characterise such biases as implicit? Can we satisfactorily articulate the grounds for identifying them as bias? And crucially, what sorts of cognitions (...) are in fact being measured; what mental states or processes underpin such behavioural responses? In this paper, we outline some of the philosophical and empirical issues engaged when attempting to address these three questions. Our aim is to provide a constructive taxonomy of the issues, and how they interrelate. As we will see, any view about what implicit bias is may depend on a range of prior theoretical choices. (shrink)

This paper looks at the question of what it means for a psychological test to have construct validity. I approach this topic by way of an analysis of recent debates about the measurement of implicit social cognition. After showing that there is little theoretical agreement about implicit social cognition, and that the predictive validity of implicit tests appears to be low, I turn to a debate about their construct validity. I show that there are two questions at stake: First, what (...) level of detail and precision does a construct have to possess such that a test can in principle be valid relative to it? And second, what kind of evidence needs to be in place such that a test can be regarded as validated relative to a given construct? I argue that construct validity is not an all-or-nothing affair. It can come in degrees, because both our constructs and our knowledge of the explanatory relation between constructs and data can vary in accuracy and level of detail, and a test can fail to measure all of the features associated with a construct. I conclude by arguing in favor of greater philosophical attention to processes of construct development. (shrink)

It seems that intuitions are indispensable in philosophical theorizing. Yet, there is evidence that our intuitions are heavily influenced by biases. This generates a puzzle: we must use our intuitions, but we seemingly cannot fully trust those very intuitions. In this paper, I develop a methodology for philosophical theorizing which attempts to avoid this puzzle. Specifically, I develop and defend a methodology that I call Extra-Wide Reflective Equilibrium. I argue that this method allows us to use intuitions, while also providing (...) a mechanism to check the influence of bias on our intuitions. In section I, defend the claim that intuitions are indispensable in philosophical theorizing. In section II, I outline recent arguments against the reliability of intuitions. In section III, I explain and defend my account of Extra-Wide Reflective Equilibrium. (shrink)

The vast literature on negative treatment of outgroups and favoritism toward ingroups provides many local insights but is largely fragmented, lacking an overarching framework that might provide a unified overview and guide conceptual integration. As a result, it remains unclear where different local perspectives conflict, how they may reinforce one another, and where they leave gaps in our knowledge of the phenomena. Our aim is to start constructing a framework to help remedy this situation. We first identify a few key (...) ideas for creating a theoretical roadmap for this complex territory, namely the principles of etiological functionalism and the dual inheritance theory of human evolution. We show how a “molecular” approach to emotions fits into this picture, and use it to illuminate emotions that shape intergroup relations. Finally, we weave the pieces together into the beginnings of a systematic taxonomy of the emotions involved in social interactions, both hostile and friendly. While it is but a start, we have developed the argument in a way that illustrates how the foundational principles of our proposed framework can be extended to accommodate further cases. (shrink)

In recent years, increasing attention has been devoted to the underrepresentation, exclusion or outright discrimination experienced by women and members of other visible minority groups in academic philosophy. Much of this debate has focused on the state of contemporary Anglophone philosophy, which is dominated by the tradition of analytic philosophy. Moreover, there is growing interest in academia and society more generally for issues revolving around linguistic justice and linguistic discrimination (sometimes called ‘linguicism’ or ‘languagism’) (see e.g. Van Parijs 2011). Globalization (...) and the increasing adoption of English as global linguistic vehicle or lingua franca push these issues at the forefront of much of the world’s attention. The convergence of these two trends suggests the appropriateness of an analysis of the condition of non-native speakers of English in analytic philosophy. (shrink)

In order for states to fulfil (many of) their moral obligations, costs must be passed to individuals. This paper asks how these costs should be distributed. I advocate the common-sense answer: the distribution of costs should, insofar as possible, track the reasons behind the state’s duty. This answer faces a number of problems, which I attempt to solve.

According to one picture of the mind, decisions and actions are largely the result of automatic cognitive processing beyond our ability to control. This picture is in tension with a foundational principle in ethics that moral responsibility for behavior requires the ability to control it. The discovery of implicit attitudes contributes to this tension. According to the ability argument against moral responsibility, if we cannot control implicit attitudes, and implicit attitudes cause behavior, then we cannot be morally responsible for that (...) behavior. The purpose of this paper is to refute the ability argument. Drawing on both scientific evidence in cognitive science and philosophical arguments in ethics and action theory, I argue that it is invalid and unsound because current evidence is insufficient to establish the premises that implicit attitudes are uncontrollable, that they significantly cause behavior, that responsibility always requires ability, and that even if uncontrollable attitudes did fully cause behavior, this entails that the behavior they cause is uncontrollable. The rejection of the ability argument questions the priority of the unconscious over the conscious mind in cognitive science, deprioritizes ability in theories of moral responsibility in ethics, and provides a strong reason to uphold moral responsibility for implicitly biased behavior. (shrink)

We consider a range of cases—both hypothetical and actual—in which agents apparently know how to \ but fail to believe that the way in which they in fact \ is a way for them to \. These “no-belief” cases present a prima facie problem for Intellectualism about knowledge-how. The problem is this: if knowledge-that entails belief, and if knowing how to \ just is knowing that some w is a way for one to \, then an agent cannot both know (...) how to \ and fail to believe that w, the way that she \s, is a way for her to \. We discuss a variety of ways in which Intellectualists might respond to this challenge and argue that, ultimately, this debate converges with another, seemingly distinct debate in contemporary epistemology: how to attribute belief in cases of conflict between an agent’s avowals and her behavior. No-belief cases, we argue, reveal how Intellectualism depends on the plausibility of positing something like “implicit beliefs”—which conflict with an agent’s avowed beliefs—in many cases of apparent knowledge-how. While there may be good reason to posit implicit beliefs elsewhere, we suggest that there are at least some grounds for thinking that these reasons fail to carry over to no-belief cases, thus applying new pressure to Intellectualism. (shrink)

Implicit intergroup biases have been shown to impact social behavior in many unsettling ways, from disparities in decisions to “shoot” black and white men in a computer simulation to unequal gender-based evaluations of résumés and CVs. It is a difficult question whether, and in what way, agents are responsible for behaviors affected by implicit biases. I argue that in paradigmatic cases agents are responsible for these behaviors in the sense that the behavior is “attributable” to them. That is, behaviors affected (...) by implicit biases reflect upon who one is as a moral agent. (shrink)

Critical thinking is often taught with some emphasis on categories and operations of cognitive biases. The underlying thought is that knowledge of biases equips students to reduce them. The empirical evidence, however, doesn’t provide much support for this thought. We have previously argued that the emphasis on debiasing in critical thinking education is worth preserving, but in light of a more explicit and broader conception of debiasing. We now argue that this broader conception of debiasing strategies obliges critical thinking instructors (...) and curriculum designers to reflect on the teaching approaches that might facilitate the use of those strategies. We propose some teaching techniques to expand the scope of debiasing in the classroom—some untested, some only rarely and recently characterized as critical thinking strategies, rather than as pragmatic considerations in, e.g., design, engineering, marketing. These methods and others like them, we suggest, broaden the prospects for teaching a range of effective critical thinking techniques for debiasing. (shrink)

This chapter examines the influence of the empirical sciences (e.g., physics, biology, psychology) in contemporary analytic philosophy, with focus on philosophical theories that are guided by findings from the empirical sciences. Scientific approaches to philosophy follow a tradition of philosophical naturalism associated with Quine, which strives to ally philosophical methods and theories more closely with the empirical sciences and away from a priori theorizing and conceptual analysis.

In this paper I suggest that there is a way to make sense of blameworthiness for morally problematic actions even when there is no bad will behind such actions. I am particularly interested in cases where an agent acts in a biased way, and the explanation is socialization and false belief rather than bad will on the part of the agent. In such cases, I submit, we are pulled in two directions: on the one hand non-culpable ignorance is usually an (...) excuse, but in the case of acting in a biased way we feel some pull to find the agent blameworthy. I argue that agents are sometimes blameworthy, (where I really mean that they are blameworthy, and not just that it is permissible to reproach them), even if they do not have any bad will. I argue that although the paradigmatic account of blameworthiness is based on quality of will, we can and should be willing to allow that there are non-paradigmatic cases. I argue that the zone of responsibility can be extended to include acts that we are not fully in control of, and acts whose moral status we are non-culpably ignorant about at the time of acting. This extension of responsibility happens through a voluntary taking of responsibility. I argue that there are certain conditions under which we should take responsibility, and that when we do so, we genuinely are responsible. (shrink)

One of the main lines of research in algorithmic fairness involves individual fairness (IF) methods. Individual fairness is motivated by an intuitive principle, similar treatment, which requires that similar individuals be treated similarly. IF offers a precise account of this principle using distance metrics to evaluate the similarity of individuals. Proponents of individual fairness have argued that it gives the correct definition of algorithmic fairness, and that it should therefore be preferred to other methods for determining fairness. I argue that (...) individual fairness cannot serve as a definition of fairness. Moreover, IF methods should not be given priority over other fairness methods, nor used in isolation from them. To support these conclusions, I describe four in-principle problems for individual fairness as a definition and as a method for ensuring fairness: (1) counterexamples show that similar treatment (and therefore IF) are insufficient to guarantee fairness; (2) IF methods for learning similarity metrics are at risk of encoding human implicit bias; (3) IF requires prior moral judgments, limiting its usefulness as a guide for fairness and undermining its claim to define fairness; and (4) the incommensurability of relevant moral values makes similarity metrics impossible for many tasks. In light of these limitations, I suggest that individual fairness cannot be a definition of fairness, and instead should be seen as one tool among several for ameliorating algorithmic bias. (shrink)

I argue that evidentialism should be rejected because it cannot be reconciled with empirical work on bias in cognitive and social psychology.

It is usual to distinguish between two kinds of doxastic attitude: standing or dispositional states, which govern our actions and persist throughout changes in consciousness; and conscious episodes of acknowledging the truth of a proposition. What is the relationship between these two kinds of attitude? Normally, the conscious episodes are in harmony with the underlying dispositions, but sometimes they come apart and we act in a way that is contrary to our explicit conscious judgements. Philosophers have often tried to explain (...) these situations in largely doxastic terms, by identifying one or other of the attitudes as our ‘real’ beliefs. This chapter argues that this is not generally realistic and we should appeal to a wider range of psychological attitudes. Such an account would be best supported by a picture of the unconscious mind which does not sharply separate the doxastic from the conative and the affective. (shrink)

Orthodox literature on bias follows what I call the Dualistic Alignment Hypothesis. The basis of this dualistic paradigm culminates in the assumption that there is a principled distinction between explicit attitudes and implicit bias and the behaviour guided by each. In this thesis I do two things. First, I challenge the dualistic paradigm on empirical and conceptual grounds. Further, I show that dualistic thinking faces serious challenges. Ultimately, I reject the dualistic paradigm as the best explanatory theory of bias. Second, (...) I propose a novel explanatory hypothesis of the data, the mosaic view. I argue that the mosaic view is grounded in a more realistic understanding of social evaluations. What underpins social behaviour are not two unified, stable, and distinct mental kinds, but rather a complex conglomeration of interacting elements of mind within a network I call a stance. The principal idea underlying the mosaic view is that social behaviour is best considered as the result of complex interactions between elements of a stance, activated differently across contexts, and interacting with background beliefs, commitments, values, and other mental states. (shrink)

Rationalization, in our intended sense of the term, occurs when a person favors a particular conclusion as a result of some factor (such as self-interest) that is of little justificatory epistemic relevance, if that factor then biases the person’s subsequent search for, and assessment of, potential justifications for the conclusion. Empirical evidence suggests that rationalization is common in people’s moral and philosophical thought. We argue that it is likely that the moral and philosophical thought of philosophers and moral psychologists is (...) also pervaded by rationalization. Moreover, although rationalization has some benefits, overall it would be epistemically better if the moral and philosophical reasoning of people, including professional academics, were not as heavily influenced by rationalization as it likely is. We discuss the significance of our arguments for cognitive management and epistemic responsibility. (shrink)

In this chapter, we identify and present predominant debates at the intersection of ethics and imagination. We begin by examining issues on whether our imagination can be constrained by ethical considerations, such as the moral evaluation of imagination, the potential for morality’s constraining our imaginative abilities, and the possibility of moral norms’ governing our imaginings. Then, we present accounts that posit imagination’s integral role in cultivating ethical lives, both through engagements with narrative artworks and in reality. Our final topic of (...) consideration focuses on the possibility of imagination constituting or constructing new ethical or political frameworks. (shrink)

Care-supporting policies incentivise women’s withdrawal from the labour market, thereby reinforcing statistical discrimination and further undermining equality of opportunities between women and men for positions of advantage. This, I argue, is not sufficient reason against such policies. Supporting care also improves the overall condition of disadvantaged women who are care-givers; justice gives priority to the latter. Moreover, some of the most advantageous existing jobs entail excessive benefits; we should discount the value of allocating such jobs meritocratically. Further, women who have (...) a real chance to occupy positions of advantage have most likely already enjoyed more than their fair share of opportunities; they lack a claim to more. Women can have a complaint grounded in the expressive disvalue of sexist discrimination. This gives them special claims against men occupying the vast majority of top positions and against their higher share of opportunities for positions of advantage. But their claim does not speak against care-supporting policies. (shrink)

In this paper, I discuss some of the recent developments in the political turn of Social Epistemology, focusing on the notions of epistemic injustice and epistemic oppression. In the first part of the work, I introduce Kristie Dotson’s characterization of the epistemic injustices presented by Miranda Fricker, through the understanding of systematic ways of violating epistemic agency in terms of oppressions. In the second part, I discuss Dotson’s critique of Fricker on the grounds that there is an important kind of (...) epistemic injustice that is not dealt with in Fricker’s proposal, and which could help us to perceive a particular, pervasive kind of violation of the epistemic agency. (shrink)

This paper gives a characterization of the ontology implicit in natural language and the entities it involves, situates natural language ontology within metaphysics, and responds to Chomskys' dismissal of externalist semantics.

This dissertation addresses the following questions: How should epistemologists conceptualize testimony? What do people use testimony to do? And why does ‘what people do’ with testimony matter epistemically? In response to these questions I both define and characterize testimony. While doing so I argue for the following answers, given here very briefly: What do people do when they testify? They tell each other things and avow that those things are true, offering their statements to others as reasons to believe. More (...) importantly, they interact with each other in order to negotiate about significance. Why do these activities matter epistemically? Because by engaging in them people generate understanding, as well as knowledge, that no one involved may have had prior to negotiation. Not only that, but they generate collective hermeneutic resources—conceptual tools with which to interpret and understand. In so doing, they not only learn, they create significance and construct social worlds, living together as epistemic, moral, and political agents. So, how should epistemologists conceptualize testimony? They should treat it as a particular speech act that most often occurs as part of a testimonial exchange—an interactive, interpretive, dialogical activity that people use in order to negotiate about significance and generate understanding. This characterization of testimony is an important contribution because it: reveals some of the distinctively social aspects of testimonial knowledge and understanding; suggests better answers to epistemic questions about testimony than those based on typical characterizations in the literature; leads discussion on the topic in a number of new directions; and it lays a foundation for an ethics of testimony that cannot be separated from epistemic concerns. Neither can those concerns be separated from social, moral, and political considerations. The position thus pushes epistemologists to investigate the intertwining of epistemic, moral, and political agency. (shrink)

Arguments attempting to debunk moral beliefs, by showing they are unjustified, have tended to be global, targeting all moral beliefs or a large set of them. Popular debunking arguments point to various factors purportedly influencing moral beliefs, from evolutionary pressures, to automatic and emotionally-driven processes, to framing effects. We show that these sweeping arguments face a debunker’s dilemma: either the relevant factor is not a main basis for belief or it does not render the relevant beliefs unjustified. Empirical debunking arguments (...) in ethics can avoid this predicament, but only if they are refocused on highly selective classes of moral belief. Experimental data can combine with familiar consistency reasoning to reveal that like cases are not being treated alike. Selective debunking arguments are unlikely to yield sweeping sceptical conclusions, but they can lead to rational moral change. (shrink)

(This contribution is primarily based on "Implicit Bias, Moods, and Moral Responsibility," (2018) Pacific Philosophical Quarterly. This version has been shortened and significantly revised to be more accessible and student-oriented.) Are individuals morally responsible for their implicit biases? One reason to think not is that implicit biases are often advertised as unconscious. However, recent empirical evidence consistently suggests that individuals are aware of their implicit biases, although often in partial and inarticulate ways. Here I explore the implications of this evidence (...) of partial awareness for individuals’ moral responsibility. First, I argue that responsibility comes in degrees. Second, I argue that individuals’ partial awareness of their implicit biases makes them (partially) morally responsible for them. I argue by analogy to a close relative of implicit bias: moods. (shrink)