This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led (...) to their conclusions. Furthermore, we generalize the epistemic landscape model, showing that one should be skeptical about the benefits of social learning in epistemically complex environments. (shrink)

The asylum system faces problems on two fronts. States undermine it with populist politics, and migrants use it to satisfy their migration preferences. To address these problems, asylum services should be commodified. States should be able to pay other states to provide determination and protection-elsewhere. In this article, I aim to identify a way of implementing this idea that is both feasible and desirable. First, I sketch a policy proposal for a commodification of asylum services. Then, I argue that this (...) policy proposal is not only compatible with the right to asylum, but also supported by moral considerations. Despite some undesirable moral features, a market in asylum facilitates the provision of asylum to those who need it. (shrink)

This chapter argues for a structural injustice approach to the governance of AI. Structural injustice has an analytical and an evaluative component. The analytical component consists of structural explanations that are well-known in the social sciences. The evaluative component is a theory of justice. Structural injustice is a powerful conceptual tool that allows researchers and practitioners to identify, articulate, and perhaps even anticipate, AI biases. The chapter begins with an example of racial bias in AI that arises from structural injustice. (...) The chapter then presents the concept of structural injustice as introduced by the philosopher Iris Marion Young. The chapter moreover argues that structural injustice is well suited as an approach to the governance of AI and compares this approach to alternative approaches that start from analyses of harms and benefits or from value statements. The chapter suggests that structural injustice provides methodological and normative foundations for the values and concerns of Diversity, Equity, and Inclusion. The chapter closes with an outlook onto the idea of “structure” and on responsibility. The idea of a structure is central to justice. An open theoretical research question is to what extent AI is itself part of the structure of society. Finally, the practice of responsibility is central to structural injustice. Even if they cannot be held responsible for the existence of structural injustice, every individual and every organization has some responsibility to address structural injustice going forward. (shrink)

This paper develops a taxonomy of kinds of actions that can be seen in group agency, human–machine interactions, and virtual realities. These kinds of actions are special in that they are not embodied in the ordinary sense. I begin by analysing the notion of embodiment into three separate assumptions that together comprise what I call the Embodiment View. Although this view may find support in paradigmatic cases of agency, I suggest that each of its assumptions can be relaxed. With each (...) assumption that is given up, a different kind of disembodied action becomes available. The taxonomy gives a systematic overview and suggests that disembodied actions have the same theoretical relevance as the actions of any ordinarily embodied human. (shrink)

A central dispute in social ontology concerns the existence of group minds and actions. I argue that some authors in this dispute rely on rival views of existence without sufficiently acknowledging this divergence. I proceed in three steps in arguing for this claim. First, I define the phenomenon as an implicit higher-order disagreement by drawing on an analysis of verbal disputes. Second, I distinguish two theories of existence—the theory-commitments view and the truthmaker view—in both their eliminativist and their constructivist variants. (...) Third, I examine individual contributions to the dispute about the existence of group minds and actions to argue that these contributions have an implicit higher-order disagreement. This paper serves two purposes. First, it is a study to apply recent advances in meta-ontology. Second, it contributes to the debate on social ontology by illustrating how meta-ontology matters for social ontology. (shrink)

This chapter outlines a framework for thinking about justice in the global digital economy. The chapter first proposes to understand the digital economy as about infrastructure, then describes some of the problems of justice raised by the global digital economy and sketches potential reforms.

The disappearing agent problem is an argument in the metaphysics of agency. Proponents of the agent-causal approach argue that the rival event-causal approach fails to account for the fact that an agent is active. This paper examines an analogy between this disappearing agent problem and the exclusion problem in the metaphysics of mind. I develop the analogy between these two problems and survey existing solutions. I suggest that some solutions that have received significant attention in response to the exclusion problem (...) have seen considerably less attention in response to the disappearing agent problem. For example, one solution to the exclusion problem is to reject the exclusion assumption. Analogously, one solution to the disappearing agent problem could be to deny the claim that the agent-causal approach and the event-causal approach are mutually exclusive. Similarly, proportionality theories of causation, a solution to the exclusion problem, can be transferred to the disappearing agent problem. After establishing the plausibility of the analogy between the two problems, I examine how this latter solution in particular can be transferred from the one problem to the other. (shrink)