Machine learning algorithms pervade contemporary society. They are integral to social institutions, inform processes of governance, and animate the mundane technologies of daily life. Consistently, the outcomes of machine learning reflect, reproduce, and amplify structural inequalities. The field of fair machine learning has emerged in response, developing mathematical techniques that increase fairness based on anti-classification, classification parity, and calibration standards. In practice, these computational correctives invariably fall short, operating from an algorithmic idealism that does not, and cannot, address systemic, Intersectional (...) stratifications. Taking present fair machine learning methods as our point of departure, we suggest instead the notion and practice of algorithmic reparation. Rooted in theories of Intersectionality, reparative algorithms name, unmask, and undo allocative and representational harms as they materialize in sociotechnical form. We propose algorithmic reparation as a foundation for building, evaluating, adjusting, and when necessary, omitting and eradicating machine learning systems. (shrink)

Past injustices demand a response if they have led to present deprivation. But skeptica arthe that there is no need to introduce a self-contained concept of 'historical justice' as our general concepts of justice provide all the necessary resources to deal with present inequalities. A rights-based approach to intergenerational issues has some advantages when compared to rival approaches: those based on intergenerational community; for example; or on obligations deriving from traditional continuity. While it is possible to ascribe rights to beings (...) who are not presently in existence; the case for ascribing rights to future generations is much stronger than for past generations. (shrink)

Philosophical defenses of property regimes can be classified as supporting either a conservative politics of property rights—the political protection of existing property titles—or a radical politics of direct political intervention to redistribute property titles. Traditionally, historical considerations were used to legitimize conservative property‐rights politics, while consequentialist arguments led to radical politics. Recently, however, the philosophical legitimations have changed places. Conservatives now point to the beneficial economic consequences of something like the current private‐property regime, while radicals justify political redistribution as restitution (...) for historical misappropriations. This shift can be explained by such factors as the failure of state‐directed redistributions of property during the twentieth century to benefit the poor. But there are limitations to the usefulness of historical arguments for radicals, and of consequentialist arguments for conservatives: namely, the undeserving poor and the idle rich, respectively. (shrink)

This article distinguishes historical ills and historical injustices. It conceives of the latter as legalised natural crimes; committed by morally competent agents. A natural crime consists in the deliberate violation of a natural right. 'Legalised' means that the natural crime must be prescribed; permitted or tolerated by the legal system. I advocate an approach which assesses moral competence on the basis of an exposedness criterion; that is: a historical agent must not be blamed for failing to see the right moral (...) reasons if his epoch and social world is utterly unacquainted with these reasons. However; an appropriate application of the exposedness criterion should take social factors and psychological mechanisms into account that obstruct access to the right reasons. I state a number of factors that seem to be auspicious for the development of moral competence. (shrink)