Herjeet Kaur Marway recently proposed the Principle of Procreative Justice, which says that reproducers have a strong moral obligation to avoid completing race and colour injustices through their selection choices. In this article, we analyze this principle and argue, appealing to a series of counterexamples, that some of the implications of Marway's Principle of Procreative Justice are difficult to accept. This casts doubt on whether the principle should be adopted. Also, we show that there are some more principled worries regarding (...) Marway's idea of a strong pro tanto duty not to complete injustices through one's procreative choices. Nonetheless, we believe Marway's arguments point in the right general direction regarding duties and structural injustice. Thus, in the final part, we suggest a positive proposal on how it would be possible to respond to the cases we raise. More specifically, we explore the suggestion that agents have a pro tanto duty to participate in eliminating structural injustice. Importantly, this duty can be satisfied, not only in procreation choices but in multiple ways. (shrink)

The status of indirect discrimination is ambiguous in the current literature. This paper addresses two contemporary and related debates. First, for some, indirect discrimination is not truly a distinct kind of discrimination, but it is simply a legal construct designed to address distributive inequalities between groups. Second, even if one accepts that indirect discrimination is a distinct type of discrimination, the connection between the two kinds of discrimination, direct and indirect, is debated. For some, they are distinct act-types, while for (...) others, indirect discrimination should be conceived as a side effect of prior cases of direct discrimination. In this paper, I argue that indirect discrimination is a distinct act-type that can take place without being connected to prior instances of direct discrimination. (shrink)

The use of predictive machine learning algorithms is increasingly common to guide or even take decisions in both public and private settings. Their use is touted by some as a potentially useful method to avoid discriminatory decisions since they are, allegedly, neutral, objective, and can be evaluated in ways no human decisions can. By (fully or partly) outsourcing a decision process to an algorithm, it should allow human organizations to clearly define the parameters of the decision and to, in principle, (...) remove human biases. Yet, in practice, the use of algorithms can still be the source of wrongful discriminatory decisions based on at least three of their features: the data-mining process and the categorizations they rely on can reconduct human biases, their automaticity and predictive design can lead them to rely on wrongful generalizations, and their opaque nature is at odds with democratic requirements. We highlight that the two latter aspects of algorithms and their significance for discrimination are too often overlooked in contemporary literature. Though these problems are not all insurmountable, we argue that it is necessary to clearly define the conditions under which a machine learning decision tool can be used. We identify and propose three main guidelines to properly constrain the deployment of machine learning algorithms in society: algorithms should be vetted to ensure that they do not unduly affect historically marginalized groups; they should not systematically override or replace human decision-making processes; and the decision reached using an algorithm should always be explainable and justifiable. (shrink)

Les démocraties s’articulent autour de deux pôles qui ne se réduisent pas l’un à l’autre, mais qui doivent communiquer constamment : la société civile et l’État. Or, l’équilibre à rechercher entre ces deux éléments est mis à mal par la consolidation de l’État administratif qui tend à autonomiser son action par rapport au reste de la société ; la société civile y est d’ordinaire exclue des prises de décisions. Cette exclusion peut toutefois être considérée positivement ou négativement. Comme il sera (...) discuté à partir des philosophies de John Dryzek et d’Iris Marion Young, on devrait tenter de penser à la fois l’inclusion de la société civile dans certaines prises de décisions étatiques et son indépendance pour favoriser sa dimension critique envers l’État. De là, l’État administratif peut être considéré simultanément comme une opportunité de démocratisation et comme une évolution de l’État à surveiller et à critiquer. (shrink)

In this introduction, I briefly summarize Sophia Moreau's Faces of Inequality. I situate her monograph within two highly contemporary bodies of literature — relational egalitarianism and discrimination theory — to show how it provides important insights for understanding both what it means to treat others as equals in society and how to define wrongful discrimination. Moreau's work on discrimination is of great relevance for philosophers and socio-legal theorists alike as the commentaries from the symposium contributors demonstrate, including Dale Smith, Pablo (...) Gilabert, Andrea Sangiovanni, Daniel Viehoff, Jessica Eisen, Alysia Blackham, and Iyiola Solanke. (shrink)