It has recently been argued that to tackle social injustice, implicit biases and unjust social structures should be targeted equally because they sustain and ontologically overlap with each other. Here I develop this thought further by relating it to the hypothesis of extended cognition. I argue that if we accept common conditions for extended cognition then people’s implicit biases are often partly realized by and so extended into unjust social structures. This supports the view that we should counteract psychological and (...) social contributors to injustice equally. But it also has a significant downside. If unjust social structures are part of people’s minds then dismantling these structures becomes more difficult than it currently is, as this will then require us to overcome widely accepted ethical and legal barriers protecting people’s bodily and personal integrity. Thus, while there are good grounds to believe that people’s biases and unjust social structures ontologically overlap, there are also strong ethical reasons to reject this view. Metaphysical and ethical intuitions about implicit bias hence collide in an important way. (shrink)

Although the impact of so-called “sponsorship bias” has been the subject of increased attention in the philosophy of science, what exactly constitutes its epistemic wrongness is still debated. In this paper, I will argue that neither evidential accounts nor social–epistemological accounts can fully account for the epistemic wrongness of sponsorship bias, but there are good reasons to prefer social–epistemological to evidential accounts. I will defend this claim by examining how both accounts deal with a paradigm case from medical epistemology, recently (...) discussed in a paper by Bennett Holman. I will argue that evidential accounts cannot adequately capture cases of sponsorship bias that involve the manufacturing of certainty because of their neutrality with respect to the role of non-epistemic values in scientific practice. If my argument holds, it further highlights the importance of integrating social and ethical concerns into epistemological analysis, especially in applied contexts. One can only properly grasp sponsorship bias as an epistemological problem if one resists the methodological tendency to analyze social, ethical, and epistemological issues in isolation from each other. (shrink)

Cognitive dissonance is a kind of ambivalence in which your apprehension of the fact that you performed or want to perform an action of which you disapprove gives rise to psychological distress. This, in turn, causes you to solicit unconscious processes that can help you reduce the distress. Here we look at the role that cognitive dissonance plays in explaining the inner workings of racism. We distinguish between three types of racist acts: inadvertent bigotry, habitual racism, and explicit racism. Unlike (...) inadvertent bigots, habitual and explicit racists are racially motivated and they therefore are responsible for their racial acts. But unlike the explicit racists, habitual racists aren’t immediately aware of their racial motives. As habitual racists hold overt egalitarian attitudes, the conflict between their over attitudes and their covert racial motives are a potential source of distress. To avoid having to face their racial motives, they tend to turn to confabulation. While explicit racists aren’t bothered by a similar form of cognitive dissonance, their explicit racial attitudes and desires to cause black people to suffer are at odds with majority public opinion, which can be a source of shame. To escape this kind of negative self-realization, explicit racists seek to justify their actions as honorable or as necessary for the good of society. We conclude by briefly pondering how cognitive dissonance can be used as a strategy for transforming habitual and explicit racists. (shrink)

My replies to Errol Lord, Adam Pautz, and Peter Railton's commentaries on The Rationality of Perception (2017).

“Implicit bias” is a term of art referring to relatively unconscious and relatively automatic features of prejudiced judgment and social behavior. While psychologists in the field of “implicit social cognition” study “implicit attitudes” toward consumer products, self-esteem, food, alcohol, political values, and more, the most striking and well-known research has focused on implicit attitudes toward members of socially stigmatized groups, such as African-Americans, women, and the LGBTQ community.[1] For example, imagine Frank, who explicitly believes that women and men are equally (...) suited for careers outside the home. Despite his explicitly egalitarian belief, Frank might nevertheless implicitly associate women with the home, and this implicit association might lead him to behave in any number of biased ways, from trusting feedback from female co-workers less to hiring equally qualified men over women. Psychological research on implicit bias is relatively recent (§1), but a host of metaphysical (§2), epistemological (§3), and ethical questions (§4) about implicit bias are pressing.[2]. (shrink)

I argue that, given the way that AI models work and the way that ordinary human rationality works, it is very likely that people are anthropomorphizing AI, with potentially serious consequences. There are good reasons to doubt that LLMs have anything like human understanding, and even if they have representations or meaningful contents in some sense, these are unlikely to correspond to our ordinary understanding of natural language. However, there are natural, and in some ways quite rational, pressures to anthropomorphize (...) or personify LLMs and other AI systems in biased ways. This includes not only the classical or obvious ways of personifying AI — taking them to be sentient or have consciousness and understanding — but also taking AI to simulate or function like understanding, track the meaning of our language and our reasoning or logic, or have a model of the world our language is about. These more subtle or unobvious forms of anthropomorphism or personification can contribute to automation bias, AI Hype, and all their attendant risks, and encourage stronger anthropomorphisms as multi-modal AI assistants are developed further. (shrink)

The notion of epistemic injustice has become an important topic of inquiry in recent times. It refers to the injustice committed to a person when her claim to knowledge is not given due consideration. This article argues that there are two major sources of epistemic injustice: One is the dominating tendencies present in us, and the other is susceptibility to cognitive biases and distortions. When societies become more complex, injustice increases and one can see countless instances of epistemic injustice in (...) everyday life. To reduce epistemic injustice, one has to tackle both sources. Increasing cooperative behaviour is the key in this regard which, in turn, may require revisiting the way the self is automatically understood. (shrink)