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)

Certain recent experiments are often taken to show that people are far more likely to classify a foreseen side-effect of an action as intentional when that side-effect has some negative normative valence. While there is some disagreement over the details, there is broad consensus among experimental philosophers that this is the finding. We challenge this consensus by presenting an alternative interpretation of the experiments, according to which they show that a side-effect is classified as intentional only if the agent considered (...) its relative importance when deciding on the action. We present two new experiments whose results can be explained by our hypothesis but not by any version of the consensus view. In the course of doing so, we develop a methodological critique of the previous literature on this topic and draw from it lessons for future experimental philosophy research. (shrink)

There is a widespread assumption that we have direct access to our own decision-making processes. Empirical demonstrations of confabulation, a phenomenon where individuals construct and themselves believe plausible but inaccurate accounts of why they acted, have been used to question this assumption. Those defending the assumption argue cases of confabulation are relatively rare and that in most cases, we still have direct insight into our own decision-making. This paper reviews this debate and introduces two novel points. Firstly, I will point (...) out that a rich source of evidence of confabulation is often overlooked. Secondly, I will argue that our inability to distinguish confabulations from cases in which we gain accurate information about the reasons for our actions gives rise to an empirically motivated scepticism which gives us grounds to doubt the accuracy of all our introspective insights into our own decision-making processes. (shrink)

Implicit bias training (IBT) is now frequently provided by employers, in order to raise awareness of the problems related to implicit biases, and of how to safeguard against discrimination that may result. However, as Atewologun et al (2018) have noted, there is very little systematicity in IBT, and there are many unknowns about what constitutes good IBT. One important issue concerns the tone of information provided regarding implicit bias. This paper engages this question, focusing in particular on the observation that (...) much bias training is delivered in exculpatory tone, emphasising that individuals are not to blame for possessing implicit biases. Normative guidance around IBT exhorts practitioners to adopt this strategy (Moss-Racusin et al 2014). However, existing evidence about the effects of moralized feedback about implicit bias is equivocal (Legault et al 2011; Czopp et al 2006). Through a series of studies, culminating in an experiment with a pre-registered analysis plan, we develop a paradigm for evaluating the impact of moralized feedback on participants’ implicit racial bias scores. We also conducted exploratory analyses of the impact on their moods, and behavioural intentions. Our results indicated that an exculpatory tone, rather than a blaming or neutral tone, did not make participants less resistant to changing their attitudes and behaviours. In fact, participants in the blame condition had significantly stronger explicit intentions to change future behaviour than those in the ‘no feedback’ condition (see experiment 3). These results indicate that considerations of efficacy do not support the need for implicit bias feedback to be exculpatory. We tease out the implications of these findings, and directions for future research. (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)