Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian considerations. We (...) explore a few fairness measures to suss out their egalitarian roots and evaluate them, both as formalizations of egalitarian ideas and as assertions of what fairness demands of predictive systems. We pay special attention to a recent and popular fairness measure, counterfactual fairness, which holds that a prediction about an individual is fair if it is the same in the actual world and any counterfactual world where the individual belongs to a different demographic group (cf. Kusner et al. (2018)). (shrink)

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 (...) that is not supported by a morally significant fact (a valid reason), or in a way that involves distributive injustice, or both. (shrink)

A common concern regarding affirmative action is that it sanctions the selection of candidates whose qualifications are not the best overall and that this is inefficient or unjust or both. I argue that this concern is misguided, since there is no independent concern regarding qualifications with respect to the moral status of affirmative action. The only sense in which qualifications are not morally arbitrary—and the only sense in which there is a reason to select the most qualified candidate—is purely instrumental (...) to the promotion of moral values whose fundamental concern is not qualifications. (shrink)

Credentialism refers to the practice of hiring or promoting applicants on the basis of their educational qualifications. In this paper, we argue that this can amount to wrongful discrimination against the less qualified. A standard way to defend credentialism appeals to the fact that it minimizes the costs of production. We argue that this argument has unacceptable implications in some cases involving disability- and gender-based discrimination. We claim that, once we appropriately revise this argument, credentialism is revealed to be similarly (...) wrongfully discriminatory. We then consider two objections and draw some preliminary lessons for policymaking. (shrink)

Discrimination might be considered unjust on account of the comparative disadvantage it imposes, the absolute disadvantage it imposes, the disrespect it shows, or the prejudice it shows. This article argues that each of these accounts overlooks some cases of unjust discrimination. In response to this state of affairs we might combine two or more of these accounts. A promising approach combines the comparative disadvantage and absolute disadvantage accounts.

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 (...) is the fact that intuitions that might support the disrespect-based account can also be explained by reference to the fact that disrespect reflects poorly on the moral character of the discriminator. The second challenge is that there are cases where disrespectful discrimination is not intuitively worse than non-disrespectful discrimination. The third challenge is that the disrespect-based account has difficulties explaining our intuitions about cases of “doing right for the wrong reasons”. Finally, pace a recent argument in its defense, cases of harmless and apparently morally bad discrimination are plausibly best explained by other factors than disrespect. In the light of this analysis, the article concludes that the disrespect-based account should be abandoned. (shrink)

This paper explores the ethics of networking as a means of competition, specifically networking to improve one’s prospects of prevailing in formal competitive processes for jobs or university placements. There are broadly two ways that networking might be used to influence the outcome of some such process: through the “exchange of affect” between networker and selector, and through the demonstration of merit by networker to selector. Both raise ethical problems that have been overlooked but need to be addressed.