In this contribution, I defend a robust model of political idealism, making the case for such an approach to both the theory and practice of politics. On this view, not only in framing a political philosophy but also in putting forward policy proposals and institutional designs, we need not think about feasibility as an overriding, make-or-break criterion for evaluating the soundness of that theory or proposal, neither of which loses its point simply because it is deemed to be unlikely to (...) be implemented. Feasibility, in other terms, cannot be taken as the only standard, or even as the main standard, on which basis to assess the practical worth of a political strategy. (shrink)

National governments have failed spectacularly to mitigate anthropogenic climate change and a sustainable approach to mitigation remains out of sight. This circumstance alone demonstrates t...

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

This article provides a conceptual map of the debate on ideal and non‐ideal theory. It argues that this debate encompasses a number of different questions, which have not been kept sufficiently separate in the literature. In particular, the article distinguishes between the following three interpretations of the ‘ideal vs. non‐ideal theory’ contrast: (i) full compliance vs. partial compliance theory; (ii) utopian vs. realistic theory; (iii) end‐state vs. transitional theory. The article advances critical reflections on each of these sub‐debates, and highlights (...) areas for future research in the field. (shrink)

Since its appearance in 1971, John Rawls’ A Theory of justice has attracted much critical attention. Most of this attention has inevitably centred on the two principles of justice for institutions and on their derivation from the original position. This paper will examine a part of the system which has not yet received such close scrutiny — Rawls’ theory of political obligation in general and civil disobedience in particular. My main aim is to understand this theory, since there are crucial (...) respects in which it is undeveloped. But I shall also along the way comment on its possibilities; these comments will for the most part take the form of comparisons with its utilitarian rival.In what follows I shall not confine myself to the material in Rawls’ book, but rather use the appearance of the book as an opportunity to review the development of the theory of political obligation since “Justice as Fairness”. When one surveys the period bounded by that initial paper and by the book, certain patterns form. (shrink)

Expectations play an important role in how people plan their lives and pursue their projects. People living in highly industrialized countries share a way of life that comes with high levels of emissions. Their expectations to be able to continue their projects imply their holding expectations to similarly high future levels of personal emissions. We argue that the frustration or undermining of these expectations would cause them significant harm. Further, the article investigates under what conditions people can be thought to (...) hold legitimate expectations, in particular about permissible levels of future emissions. We distinguish differing theories of understanding these conditions, namely authority-based and justice-based theories, that each allows us to systematically distinguish between legitimate and illegitimate expectations. Furthermore, with respect to individuals’ future permissible emissions we give several reasons for holding that such theories cannot identify a particular expectation to a specific level of personal emissions as the only legitimate one. Finally, we argue that the set of legitimate expectations that people hold with respect to a just and effective solution to climate change has normative significance in at least two ways: the differing but equally legitimate expectations ought to be taken into account when justifying what could count as such a solution and when determining the just way of arriving at and implementing such a solution. (shrink)