Epistemic analyses of stereotyping describe how they lead to misperceptions and misunderstandings of social actors and events. The analyses have tended so far to focus on how people acquire stereotypes and/or how the stereotypes lead to distorted perceptions of the evidence that is available about individuals. In this chapter, I focus instead on how the stereotypes can generate misleading evidence by influencing the policy preferences of people who harbour the biases. My case study is stereotypes that relate to people living (...) in poverty. I show how these stereotypes influence policy choices in ways that generate misleading evidence about people living in poverty. I argue that the stereotypes generate the misleading evidence by supporting policies that restrict the agency of the people in poverty. In generating this misleading evidence, the stereotypes place additional constraints on the epistemic agency of everyone, making it harder for anyone, including those who do and those who do not endorse the stereotypes, to gain true beliefs about people living in poverty. Going forward, I conclude, adequate epistemic analyses of stereotyping ought to be more expansive, acknowledging both the way that stereotypes generate misleading evidence by constraining the agency of those stereotyped, and how we can all thereby be epistemically constrained by the stereotypes harboured by others. (shrink)

In analysing the problems with commemorative artefacts, philosophers have tended to focus on objectionable monuments that honour inappropriate subjects. The problems with such monuments, however, do not exhaust problems with a society’s _public commemorative landscape_ – the totality of public commemorative artefacts in general, and the institutions involved in their creation and maintenance. I argue that a public commemorative landscape can implicate authoritative ideas, including stereotypes about people in virtue of their group membership. This contributes to what I term hermeneutical (...) constriction – a situation in which people are given reason to rely on an authoritative subset of the totality of hermeneutical resources that they actually have access to. Critiquing and resisting these problems with a public commemorative landscape that contributes to hermeneutical constriction is fraught with difficulties. Attempts to do so render activists vulnerable to a range of serious criticisms. (shrink)

People often discriminate based on negative or positive stereotypes about others. Important examples of this are highlighted by the theory of ambivalent sexism. This theory distinguishes sexist stereotypes that are negative (hostile sexism) from those that are positive (benevolent sexism). While both forms of sexism are considered wrong towards women, hostile sexism seems intuitively worse than benevolent sexism. In this article, we ask whether the difference between discriminating based on positive vs. negative stereotypes in itself makes a morally relevant difference. (...) We suggest that it does not. By examining a number of prominent accounts of what makes discrimination wrong, we defend the Moral Irrelevance View according to which stereotype valence is irrelevant to the moral evaluation of discrimination, all else equal. (shrink)

Large language models (LLMs) such as OpenAI’s ChatGPT reflect, and can potentially perpetuate, social biases in language use. Conceptual engineering aims to revise our concepts to eliminate such bias. We show how machine learning and conceptual engineering can be fruitfully brought together to offer new insights to both conceptual engineers and LLM designers. Specifically, we suggest that LLMs can be used to detect and expose bias in the prototypes associated with concepts, and that LLM de-biasing can serve conceptual engineering projects (...) that aim to revise such conceptual prototypes. At present, these de-biasing techniques primarily involve approaches requiring bespoke interventions based on choices of the algorithm’s designers. Thus, conceptual engineering through de-biasing will include making choices about what kind of normative training an LLM should receive, especially with respect to different notions of bias. This offers a new perspective on what conceptual engineering involves and how it can be implemented. And our conceptual engineering approach also offers insight, to those engaged in LLM de-biasing, into the normative distinctions that are needed for that work. (shrink)

In analysing the problems with commemorative artefacts, philosophers have tended to focus on objectionable monuments that honour inappropriate subjects. The problems with such monuments, however, do not exhaust problems with a society’s public commemorative landscape – the totality of public commemorative artefacts in general, and the institutions involved in their creation and maintenance. I argue that a public commemorative landscape can implicate authoritative ideas, including stereotypes about people in virtue of their group membership. This contributes to what I term hermeneutical (...) constriction – a situation in which people are given reason to rely on an authoritative subset of the totality of hermeneutical resources that they actually have access to. Critiquing and resisting these problems with a public commemorative landscape that contributes to hermeneutical constriction is fraught with difficulties. Attempts to do so render activists vulnerable to a range of serious criticisms. (shrink)