Cognitive states, such as beliefs, desires and intentions, may influence how we perceive people and objects. If this is the case, are those influences worse when they occur implicitly rather than explicitly? Here we show that cognitive penetration in perception generally involves an implicit component. First, the process of influence is implicit, making us unaware that our perception is misrepresenting the world. This lack of awareness is the source of the epistemic threat raised by cognitive penetration. Second, the influencing state (...) can be implicit, though it can also be or become explicit. Being unaware of the content of the influencing state, we argue, does not make as much difference to the epistemic threat as it does to the epistemic responsibility of the agent. Implicit influencers cannot be examined for their accuracy and justification, and cannot be voluntarily accepted by the perceiver. Conscious awareness, however, is not sufficient for attributing blame to the agent. An equally important condition is the degree of control that they can exercise to change the contents that influence perception or stop their influence. Here we suggest that such control can also result from social influence, and that cognitive penetrability of perception is therefore also a social issue. (shrink)

This paper has a two-fold goal. First, I defend the view that the prejudicial behaviour that results from implicit biases is best understood as a type of habitual action—as a harmful, yet deeply entrenched, passively acquired, socially relevant type of habit. Second, I explore how characterizing such implicitly biased behaviour as a habit aids our understanding of the responsibility we bear for it. As habits are ultimately susceptible of being controlled, agents ought to be held responsible for their implicit biased (...) actions. Yet, the blaming response should target agents only insofar as they have failed (while being able) to develop a particular kind of ability: the ability to spot the kind of situations that require the exercise of the relevant intellectual, moral, social, and prudential obligations. Being thus responsible, however, is consistent with the agent’s not being blameworthy. For the automaticity of the blamed agent’s implicitly biased behaviour makes it unintentional relative to intellectual, moral, social, and prudential values that she already cares about. (shrink)

It has recently been argued that beliefs formed on the basis of implicit biases pose a challenge for accessibilism, since implicit biases are consciously inaccessible, yet they seem to be relevant to epistemic justification. Recent empirical evidence suggests, however, that while we may typically lack conscious access to the source of implicit attitudes and their impact on our beliefs and behaviour, we do have access to their content. In this paper, I discuss the notion of accessibility required for this argument (...) to work vis-à-vis these empirical results and offer two ways in which the accessibilist could meet the challenge posed by implicit biases. Ultimately both strategies fail, but the way in which they do, I conclude, reveals something general and important about our epistemic obligations and about the intuitions that inform the role of implicit biases in accessibilist justification. (shrink)

One important strategy for dealing with error in our methods is triangulation, or the use multiple methods to investigate the same object. Current accounts of triangulation assume that its primary function is to provide a confirmatory boost to hypotheses beyond what confirmation of each method alone could produce. Yet, researchers often use multiple methods to examine new constructs about which they are uncertain. For example, social psychologists use multiple indirect measures to provide convergent evidence about implicit attitudes, but how to (...) characterize implicit attitudes is an open question. To make sense of triangulation under uncertainty about constructs, I suggest two changes: first, triangulation can serve multiple epistemic functions, including some that are non-confirmatory, and second, researchers should assess the epistemic risk in claims about evidence and the acceptance/rejection of hypotheses. (shrink)

In this paper I explore the nature of confabulatory explanations of action guided by implicit bias. I claim that such explanations can have significant epistemic benefits in spite of their obvious epistemic costs, and that such benefits are not otherwise obtainable by the subject at the time at which the explanation is offered. I start by outlining the kinds of cases I have in mind, before characterising the phenomenon of confabulation by focusing on a few common features. Then I introduce (...) the notion of epistemic innocence to capture the epistemic status of those cognitions which have both obvious epistemic faults and some significant epistemic benefit. A cognition is epistemically innocent if it delivers some epistemic benefit to the subject which would not be attainable otherwise because alternative (less epistemically faulty) cognitions that could deliver the same benefit are unavailable to the subject at that time. I ask whether confabulatory explanations of actions guided by implicit bias have epistemic benefits and whether there are genuine alternatives to forming a confabulatory explanation in the circumstances in which subjects confabulate. On the basis of my analysis of confabulatory explanations of actions guided by implicit bias, I argue that such explanations have the potential for epistemic innocence. I conclude that epistemic evaluation of confabulatory explanations of action guided by implicit bias ought to tell a richer story, one which takes into account the context in which the explanation occurs. (shrink)

I propose a new model of implicit bias, according to which implicit biases are constituted by unconscious imaginings. I begin by endorsing a principle of parsimony when confronted with unfamiliar phenomena. I introduce implicit bias in terms congenial to what most philosophers and psychologists have said about their nature in the literature so far, before moving to a discussion of the doxastic model of implicit bias and objections to it. I then introduce unconscious imagination and argue that appeal to it (...) does not represent a departure from a standard view of imagination, before outlining my model and showing how it accommodates characteristic features of implicit bias. I argue for its advantages over the doxastic model: it does not violate the parsimony principle, it does not face any of the objections so far raised to doxasticism, and it can accommodate the heterogeneity in the category of implicit bias. Finally, I address whether my view limits our ability to hold people accountable for their biases (it does not), and whether it is consistent with what we know about intervention strategies (it is). I conclude that implicit biases are constituted by unconscious imaginings. (shrink)

It has been proposed that, whilst implicit attitudes, alike beliefs, are propositionally structured, 629–658, 2016), the former respond to evidence and modulate other attitudes in a fragmented manner, and so constitute a sui generis class, the “patchy endorsements”, 800–823, 2015). In the following, I demonstrate that the patchy endorsements theorist is committed to the truth of two claims: no implicit attitude is responsive to content to the same extent as any belief; and there is a significant gap between the most (...) responsive implicit attitude and the least responsive belief. I argue that both and fail to hold. Many implicit attitudes respond to evidence and modulate other attitudes. Meanwhile, at least some ordinary beliefs exhibit lower evidence-responsiveness and inferential efficacy than at least some implicit attitudes, defeating and. A better interpretation is that attitudes may be ordered along a continuum according to their responsiveness to content. At one extreme end, we find attitudes usually identified as implicit, and at the other, attitudes usually identified as beliefs, but in the middle, there is an area of overlap. I consider the consequences of the continuum view for existing folk psychological concepts. (shrink)

In this article, we describe four theoretical and methodological problems that have impeded implicit attitude research and the popular understanding of its findings. The problems all revolve around assumptions made about the relationships among measures, constructs, cognitive processes, and features of processing. These assumptions have confused our understandings of exactly what we are measuring, the processes that produce implicit evaluations, the meaning of differences in implicit evaluations across people and contexts, the meaning of changes in implicit evaluations in response to (...) intervention, and how implicit evaluations predict behavior. We describe formal modeling as one means to address these problems, and provide illustrative examples. Clarifying these issues has important implications for our understanding of who has particular implicit evaluations and why, when those evaluations are likely to be particularly problematic, how we might best try to change them, and what interventions are best suited to minimize the effects of implicit evaluations on behavior. (shrink)

Adaptive rationality theorists question the manner in which psychologists have typically assessed rational behavior and cognition. According to them, human rationality is adaptive, and the biases reported in the psychological literature are best seen as the result of using normative standards that are too narrow. As it turns out, their challenge is also quite controversial, and several aspects of it have been called into question. Yet, whilst it is often suggested that the lack of cogency comes about due to the (...) implausibility of the alternative normative framework, in this paper I articulate a different strategy to resist the revolutionary rhetoric of AR. As I argue here, even if we accept the normative framework of AR, the challenge from AR is less damaging than usually accepted. In particular, I challenge the claim that biases reported in the literature should be conceived of as violations of axiomatic rationality. I argue that the category of bias refers instead to a range of heterogeneous phenomena and that, since several important families of biases are not just violations of axiomatic rationality, these are not vulnerable to the AR challenge. In fact, I also show that the families I consider here look like plausible cases of irrational behavior from the perspective of AR, and that the outcome of my analysis does not sit well with AR theorists’ claim that people are generally successful at achieving prudential and epistemic goals. (shrink)

What is the mental representation that is responsible for implicit bias? What is this representation that mediates between the trigger and the biased behavior? My claim is that this representation is neither a propositional attitude nor a mere association. Rather, it is mental imagery: perceptual processing that is not directly triggered by sensory input. I argue that this view captures the advantages of the two standard accounts without inheriting their disadvantages. Further, this view also explains why manipulating mental imagery is (...) among the most efficient ways of counteracting implicit bias. (shrink)

Are individuals morally responsible for their implicit biases? One reason to think not is that implicit biases are often advertised as unconscious, ‘introspectively inaccessible’ attitudes. 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)

Implicit bias results from living in a society structured by race. Tamar Gendler has drawn attention to several epistemic costs of implicit bias and concludes that paying some costs is unavoidable. In this paper, we reconstruct Gendler’s argument and argue that the epistemic costs she highlights can be avoided. Though epistemic agents encode discriminatory information from the environment, not all encoded information is activated. Agents can construct local epistemic environments that do not activate biasing representations, effectively avoiding the consequences of (...) activation. We conclude that changing our local environments provides a way to avoid paying implicit bias’s epistemic costs. (shrink)

Recent findings in different areas of psychology and cognitive science have brought the unconscious mind back to center stage. However, the unconscious mind worry remains: What renders unconscious phenomena mental? I suggest a new strategy for answering this question, which rests on the idea that categorizing unconscious phenomena as “mental” should be scientifically useful relative to the explanatory research goals. I argue that this is the case if by categorizing an unconscious phenomenon as “mental” one picks out explanatorily relevant similarities (...) to a corresponding paradigmatically mental conscious phenomenon. Explanatory relevance is spelled out in terms of mechanistic norms. (shrink)

Many philosophers as well as psychologists hold that implicit biases are due to unconscious attitudes. The justification for this unconscious-claim seems to be an inference to the best explanation of the mismatch between explicit and implicit attitudes, which is characteristic for implicit biases. The unconscious-claim has recently come under attack based on its inconsistency with empirical data. Instead, Gawronski et al. (2006) analyze implicit biases based on the so-called Associative-Propositional Evaluation (APE) model, according to which implicit attitudes are phenomenally conscious (...) and accessible. The mismatch between the explicit and the implicit attitude is explained by the Cognitive Inconsistency Approach (CIA) (as I will call it): implicit attitudes are conscious but rejected as basis for explicit judgments because the latter lead to cognitive inconsistency with respect to other beliefs held by the subject. In this paper, I will argue that the CIA is problematic since it cannot account for the fact that implicit attitudes underlying implicit biases typically are unconscious. I will argue that a better explanation of the attitude-mismatch can be given in terms of a Neo-Freudian account of repression. I will develop such an account, and I will show how it can accommodate the merits of the APE model while avoiding the problems of the CIA. (shrink)

What is a bias? Standard philosophical views of both implicit and explicit bias focus this question on the representations one harbours, for example, stereotypes or implicit attitudes, rather than the ways in which those representations are manipulated. I call this approach representationalism. In this paper, I argue that representationalism taken as a general theory of psychological social bias is a mistake, because it conceptualizes bias in ways that do not fully capture the phenomenon. Crucially, this view fails to capture a (...) heretofore neglected possibility of bias, one that influences an individual’s beliefs about or actions toward others, but is, nevertheless, nowhere represented in that individual’s cognitive repertoire. In place of representationalism, I develop a functional account of psychological social bias which characterizes it as a mental entity that takes propositional mental states as inputs and returns propositional mental states as outputs in a way that instantiates social-kind inductions. This functional characterization leaves open which mental states and processes bridge the gap between the inputs and outputs, ultimately highlighting the diversity of candidates that can serve this role. (shrink)

Often machine learning programs inherit social patterns reflected in their training data without any directed effort by programmers to include such biases. Computer scientists call this algorithmic bias. This paper explores the relationship between machine bias and human cognitive bias. In it, I argue similarities between algorithmic and cognitive biases indicate a disconcerting sense in which sources of bias emerge out of seemingly innocuous patterns of information processing. The emergent nature of this bias obscures the existence of the bias itself, (...) making it difficult to identify, mitigate, or evaluate using standard resources in epistemology and ethics. I demonstrate these points in the case of mitigation techniques by presenting what I call ‘the Proxy Problem’. One reason biases resist revision is that they rely on proxy attributes, seemingly innocuous attributes that correlate with socially-sensitive attributes, serving as proxies for the socially-sensitive attributes themselves. I argue that in both human and algorithmic domains, this problem presents a common dilemma for mitigation: attempts to discourage reliance on proxy attributes risk a tradeoff with judgement accuracy. This problem, I contend, admits of no purely algorithmic solution. (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)

In this paper, I set out some desiderata for a model of implicit cognition. I present test cases and suggest that, when considered in light of them, some recent models of implicit cognition fail to satisfy these desiderata. The test cases also bring to light an important class of cases that have been almost completely ignored in philosophical discussions of implicit cognition and implicit bias. These cases have important work to do in helping us understand both the role of implicit (...) cognition in action and our attempts to combat implicit biases. (shrink)

ABSTRACTEvaluative conditioning is proposed as a mechanism of automatic preference acquisition in dual-process theories of attitudes. Associative and propositional processes in evaluation: An integrative review of implicit and explicit attitude change. Psychological Bulletin, 132, 692–731. doi:10.1037/0033-2909.132.5.692). Evidence for the automaticity of EC comes from studies claiming EC effects for subliminally presented stimuli. An impression-formation study showed a selective influence of briefly presented primes on implicitly measured attitudes, whereas supraliminally presented behavioural information about the target person was reflected in explicit ratings. (...) Of two minds forming and changing valence-inconsistent implicit and explicit attitudes. Psychological Science, 17, 954–958. doi:10.1111/j.1467-9280.2006.01811.x) This finding is considered one of the strongest pieces of... (shrink)

We extend Newell & Shanks' (N&S's) arguments to the question of whether implicit evaluations reflect unconscious attitudes. We argue that correspondence to explicit evaluations fails to meet the criteria of relevance and sensitivity. When awareness is measured adequately and in line with N&S's criteria, there is compelling evidence that people are consciously aware of their implicit evaluations.

The topic of this paper is what I will call “biased emotion”. Biased emotions are emotions which are influenced by implicit bias. An example is racially biased fear. A person who explicitly denies that every black man is dangerous, might implicitly have the tendency to be afraid of black men. Biased emotions lead to certain types of behavior, such as avoidance behavior out of fear. Some have argued that behavioral expressions of biased emotions are not attributable. Because fearful behavior is (...) supposedly reflex-like, it can be considered as “external” to who one really is. I will, however, argue that behavioral expressions of biased emotions are not reflexes but behavior which reflects a person’s goals and what one cares about. For this reason, I will argue that behavioral expressions of biased emotions are attributable and reveal who one truly is. (shrink)

In analyzing implicit bias, one key issue is to clarify its metaphysical nature. In this paper, I develop a novel account of implicit bias by highlighting a particular kind of belief-like state that is partly constituted by phenomenal experiences. I call these states ‘qualiefs’ for three reasons: qualiefs draw upon qualitative experiences of what an object seems like to attribute a property to this very object, they share some of the distinctive features of proper beliefs, and they also share some (...) characteristics of what Gendler calls ‘aliefs’. I proceed as follows: First, I develop a general theory of qualiefs. Second, I argue that implicit bias involves generic qualiefs that involve experiences that have been shaped by stereotypes. Elaborating on the particular content of a generic qualief, I explain why we are unaware of the bias even though it involves an experience. Third, I demonstrate that the qualief-model best explains the key features of implicit bias: it accounts for the biases´ implicitness and automaticity. Moreover, it elucidates how implicit bias can be insensitive to logical form and evidence, but at the same time it can serve as propositional input to further mental states. (shrink)

Implicit and explicit attitudes manifest themselves as distinct and partly dissociable behavioral dispositions. It is natural to think that these differences reflect differing underlying representations. The present article argues that this may be a mistake. Although non-verbal and verbal measures of attitudes often dissociate, this may be because the two types of outcome-measure are differentially impacted by other factors, not because they are tapping into distinct kinds of representation or distinct storage systems. I arrive at this view through closer consideration (...) than is usual of the mechanisms and processes that underlie overt behavior. (shrink)

The received view of implicit bias holds that it is associative and unreflective. Recently, the received view has been challenged. Some argue that implicit bias is not predicated on “any” associative process, but it is unreflective. These arguments rely, in part, on debiasing experiments. They proceed as follows. If implicit bias is associative and unreflective, then certain experimental manipulations cannot change implicitly biased behavior. However, these manipulations can change such behavior. So, implicit bias is not associative and unreflective. This paper (...) finds philosophical and empirical problems with that argument. When the problems are solved, the conclusion is not quite right: implicit bias is not necessarily unreflective, but it seems to be associative. Further, the paper shows that even if legitimate non-associative interventions on implicit bias exist, then both the received view and its recent contender would be false. In their stead would be interactionism or minimalism about implicit bias. (shrink)

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)

In this paper I ask what implicit attitudes tell us about our freedom. I analyze the relation between the literature on implicit attitudes and an important subcategory of theories of free will—self-disclosure accounts. If one is committed to such a theory, I suggest one may have to move to a more social conceptualization of the capacity for freedom. I will work out this argument in five sections. In the first section, I discuss the specific theories of free will that are (...) central to this paper. In the second section, I will show that implicit-bias research raises questions about people’s capacities to exercise free will. In the third section, I will consider how an individual may overcome these failures and argue that the individual ability for self-regulation is significantly limited. One could stop here and conclude that free will is a limited capacity. But I argue that this conclusion would be too hastily drawn. I will instead continue to ask what would be required for free will. By discussing how failures of free will are due to social structures and may be therefore repaired by changing social structures in section 4, I will arrive at an alternative conclusion about the capacity for free will in section 5. (shrink)

I offer here a new hypothesis about the nature of implicit attitudes. Psy- chologists and philosophers alike often distinguish implicit from explicit attitudes by maintaining that we are aware of the latter, but not aware of the former. Recent experimental evidence, however, seems to challenge this account. It would seem, for example, that participants are frequently quite adept at predicting their own perfor- mances on measures of implicit attitudes. I propose here that most theorists in this area have nonetheless overlooked (...) a commonsense distinction regarding how we can be aware of attitudes, a difference that fundamentally distinguishes implicit and explicit attitudes. Along the way, I discuss the implications that this distinction may hold for future debates about and experimental investigations into the nature of implicit attitudes. (shrink)

Recently, psychologists have developed indirect measurement procedures to predict suicidal behavior. A prominent example is the Death/Suicide Implicit Association Test (DS-IAT). In this paper, I argue that there is something special about the DS-IAT which distinguishes it from different IAT measures. I argue that the DS-IAT does not measure weak or strong associations between the implicit self-concept and the abstract concept of death. In contrast, assuming a goal-system approach, I suggest that sorting death-related to self-related words takes effort because death-related (...) words trigger avoidance-impulses, which suicide ideation weakens. The DS-IAT taps into weakened automatic responses from the self-preservation system. Additionally, the suggested cognitive structure, illuminated with the selfish-goal theory, explains predictable suicidal behavior. (shrink)

Can agents overcome unconscious psychological influences without being aware of them? Some philosophers and psychologists assume that agents need to be aware of psychological influences to successfully control behavior. The aim of this text is to argue that when agents engage in a proactive control strategy, they can successfully shield their behavior from some unconscious influences. If agents actively check for conflicts between their actions and mental states, they engage in reactive control. For engaging in reactive control, agents need awareness (...) of those mental states which are in conflict with an action. In contrast, if agents are actively maintaining a goal in consciousness, they engage in proactive control. Proactive control does not consist of conflict detection or conflict resolution. I argue that proactive control explains how agents overcome unconscious psychological influences. In doing so, I claim that consciousness is important for engaging in reactive and proactive control. (shrink)

Recent findings in empirical psychology show that implicit biases can affect behavior in ways that are difficult to control deliberatively. Doris argues that findings like these constitute a threat to agency, if agency is defined as the ability to reflectively, deliberatively direct one’s actions. I argue, however, that implicit biases pose no fundamental threat to agency since they can be brought under indirect deliberative control, whereby deliberative, reflective actions put in place automatic processes that automatically inhibit unwanted biases. Since automatic (...) processes can be thus used to achieve deliberatively, reflectively endorsed goals, agency should be defined as the ability to act in line with reflectively endorsed goals, whether by deliberative or automatic processes. (shrink)

I argue that there exists a natural kind social bias that subsumes seemingly heterogenous cases of implicit bias and other forms of social cognition. I explore the implications of this explicated notion of bias for the organization of the mind, theories of consciousness, and the system-dependence of biases.

This PhD thesis concerns introspective approaches to the study of the mind. Across three standalone papers, I examine the significance of introspective data and advise on appropriate kinds of training for the production of such data. An overview document first introduces major themes, methods and arguments of the thesis. Paper 1 then begins the argumentative work, interrogating the constraining function of introspection in cognitive science. Here, I evaluate “enactivist” claims about the significance of introspection, clarifying central enactivist suggestions to draw (...) out the broader importance of introspection in science and philosophy. Paper 2 then examines the proposed employment of Buddhist meditation practices in the production of rigorous introspective data. I defend such proposals against concerns that meditators yield ungeneralizable data, given the transformative character of these attention-training techniques. I argue that some meditation-trained transformations are actually epistemically-beneficial, undermining popular associations between transformation and “distortion”. Paper 3 then reviews difficulties involved in integrating meditative training into research. I emphasise the importance of specific contextual supports to meditation as critical ingredients of introspective proficiency, showing how difficulties replicating these threaten to limit the scope of meditation’s scientific benefits. I layout methodological responses to this that can maximise meditation’s positive impact going forwards. (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)