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Switch to: References
Citations of:
What Makes Wrongful Discrimination Wrong? Biases, Preferences, Sterotypes [Sic], and Proxies
Faculty of Law, University of Toronto (1989)
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In this paper we make the case for the emergence of novel kind of bias with the use of algorithmic decision-making systems. We argue that the distinctive generative process of feature creation, characteristic of machine learning (ML), contorts feature parameters in ways that can lead to emerging feature spaces that encode novel algorithmic bias involving already marginalized groups. We term this bias _assembled bias._ Moreover, assembled biases are distinct from the much-discussed algorithmic bias, both in source (training data versus feature (...) |
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The article analyses the concept of indirect discrimination, arguing first that existing conceptualisations are unsatisfactory and second that it is best understood as equal treatment that is disadvantageous to the discriminatees because of their group-membership. I explore four ways of further refining the definition, arguing that only an added condition of moral wrongness is at once plausible and helpful, but that it entails a number of new problems that may outweigh its benefits. Finally, I suggest that the moral wrongness of (...) |
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Discrimination is a central moral and legal concept. However, it is also a contested one. Particularly, accounts of the wrongness of discrimination often rely on controversial and particular assumptions. In this paper, I argue that a theory of discrimination that relies on premises that are very general (rather than unique to the concept of discrimination) and widely accepted provides a plausible (exhaustive) account of the concept of wrongful discrimination. According to the combined theory, wrongful discrimination consists of allocating a benefit (...) |
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Many legal, social, and medical theorists and practitioners, as well as lay people, seem to be concerned with the harmfulness of discriminative practices. However, the philosophical literature on the moral wrongness of discrimination, with a few exceptions, does not focus on harm. In this paper, I examine, and improve, a recent account of wrongful discrimination, which divides into a definition of group discrimination, and a characterisation of its moral wrong-making feature in terms of harm. The resulting account analyses the wrongness (...) |
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A frequent caveat in online dating profiles – “No fats, femmes, or Asians” – caused an LGBT activist to complain about the bias against Asians in the American gay community, which he called “racial looksism”. In response, he was asked that, if he himself would not date a fat person, why he should find others not dating Asians so upsetting. This response embodies a popular attitude that personal preferences or tastes are simply personal matters – they are not subject to (...) |
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The article explores one prominent account of what makes discrimination morally bad (when it is) – the disrespect-based account. The article first reviews and clarifies the account, arguing that it is most charitably understood as the claim that discrimination is morally bad when the discriminator gives lower weight to reasons grounded in the moral status of the discriminatee(s) in her decision-making. It then presents three challenges to the account, and reviews a recent argument in defense of it. The first challenge (...) |
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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, (...) |
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In this paper, I examine whether the use of artificial intelligence (AI) and automated decision-making (ADM) aggravates issues of discrimination as has been argued by several authors. For this purpose, I first take up the lively philosophical debate on discrimination and present my own definition of the concept. Equipped with this account, I subsequently review some of the recent literature on the use AI/ADM and discrimination. I explain how my account of discrimination helps to understand that the general claim in (...) |
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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. |
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